{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:QXZ6T6W4PMJA3SR6KRTGDTYCGO","short_pith_number":"pith:QXZ6T6W4","canonical_record":{"source":{"id":"1112.2640","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-12-12T18:03:42Z","cross_cats_sorted":[],"title_canon_sha256":"4c53ceb9f004da066c14d66d68edf83bfdc70fad2c15075386d57b8636984311","abstract_canon_sha256":"9b7524299459a81472c05e9799b88c9308200937b231d9af7f1311bc993e0c98"},"schema_version":"1.0"},"canonical_sha256":"85f3e9fadc7b120dca3e546661cf02339769b57bbd6ee27a80c1a39609f0f69e","source":{"kind":"arxiv","id":"1112.2640","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1112.2640","created_at":"2026-05-18T04:03:42Z"},{"alias_kind":"arxiv_version","alias_value":"1112.2640v2","created_at":"2026-05-18T04:03:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.2640","created_at":"2026-05-18T04:03:42Z"},{"alias_kind":"pith_short_12","alias_value":"QXZ6T6W4PMJA","created_at":"2026-05-18T12:26:39Z"},{"alias_kind":"pith_short_16","alias_value":"QXZ6T6W4PMJA3SR6","created_at":"2026-05-18T12:26:39Z"},{"alias_kind":"pith_short_8","alias_value":"QXZ6T6W4","created_at":"2026-05-18T12:26:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:QXZ6T6W4PMJA3SR6KRTGDTYCGO","target":"record","payload":{"canonical_record":{"source":{"id":"1112.2640","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-12-12T18:03:42Z","cross_cats_sorted":[],"title_canon_sha256":"4c53ceb9f004da066c14d66d68edf83bfdc70fad2c15075386d57b8636984311","abstract_canon_sha256":"9b7524299459a81472c05e9799b88c9308200937b231d9af7f1311bc993e0c98"},"schema_version":"1.0"},"canonical_sha256":"85f3e9fadc7b120dca3e546661cf02339769b57bbd6ee27a80c1a39609f0f69e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:03:42.649739Z","signature_b64":"myWpb3smWDXpmKyOzOeVlPUeTDoMkquQqeATYAntXOH/Is3S3gMo0b8CqM+DsNgu5SiCzzx9g6OibrnAx+irAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85f3e9fadc7b120dca3e546661cf02339769b57bbd6ee27a80c1a39609f0f69e","last_reissued_at":"2026-05-18T04:03:42.649284Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:03:42.649284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1112.2640","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T04:03:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FmnVyowlMPUntSVFcOIC4GZwOaXU3wmBFwFb3Xgdtabyec0h3oAoPIDRAD+ZZsyfLEimAW8BmN2pMzGpN962AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:55:23.569730Z"},"content_sha256":"96b3f407c0571390f0156124701ace423312709a286a9fa1ee8a1c746fdf8b2f","schema_version":"1.0","event_id":"sha256:96b3f407c0571390f0156124701ace423312709a286a9fa1ee8a1c746fdf8b2f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:QXZ6T6W4PMJA3SR6KRTGDTYCGO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Threshold Choice Methods: the Missing Link","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"C\\`esar Ferri, Jos\\'e Hern\\'andez-Orallo, Peter Flach","submitted_at":"2011-12-12T18:03:42Z","abstract_excerpt":"Many performance metrics have been introduced for the evaluation of classification performance, with different origins and niches of application: accuracy, macro-accuracy, area under the ROC curve, the ROC convex hull, the absolute error, and the Brier score (with its decomposition into refinement and calibration). One way of understanding the relation among some of these metrics is the use of variable operating conditions (either in the form of misclassification costs or class proportions). Thus, a metric may correspond to some expected loss over a range of operating conditions. One dimension"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.2640","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T04:03:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BaV+6N60Js3acjiNQJfFKSdQSnYxmhkDkoECnrM4vI6scBnwKD24yJQopzNm6Hzfmng5UXBUUGVp9IUG3lN5AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:55:23.570287Z"},"content_sha256":"e2d37f8e07a9be8e8a9348446021913cc5430f601464c58ec5252d742b4ada3c","schema_version":"1.0","event_id":"sha256:e2d37f8e07a9be8e8a9348446021913cc5430f601464c58ec5252d742b4ada3c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QXZ6T6W4PMJA3SR6KRTGDTYCGO/bundle.json","state_url":"https://pith.science/pith/QXZ6T6W4PMJA3SR6KRTGDTYCGO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QXZ6T6W4PMJA3SR6KRTGDTYCGO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-28T01:55:23Z","links":{"resolver":"https://pith.science/pith/QXZ6T6W4PMJA3SR6KRTGDTYCGO","bundle":"https://pith.science/pith/QXZ6T6W4PMJA3SR6KRTGDTYCGO/bundle.json","state":"https://pith.science/pith/QXZ6T6W4PMJA3SR6KRTGDTYCGO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QXZ6T6W4PMJA3SR6KRTGDTYCGO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:QXZ6T6W4PMJA3SR6KRTGDTYCGO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9b7524299459a81472c05e9799b88c9308200937b231d9af7f1311bc993e0c98","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-12-12T18:03:42Z","title_canon_sha256":"4c53ceb9f004da066c14d66d68edf83bfdc70fad2c15075386d57b8636984311"},"schema_version":"1.0","source":{"id":"1112.2640","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1112.2640","created_at":"2026-05-18T04:03:42Z"},{"alias_kind":"arxiv_version","alias_value":"1112.2640v2","created_at":"2026-05-18T04:03:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.2640","created_at":"2026-05-18T04:03:42Z"},{"alias_kind":"pith_short_12","alias_value":"QXZ6T6W4PMJA","created_at":"2026-05-18T12:26:39Z"},{"alias_kind":"pith_short_16","alias_value":"QXZ6T6W4PMJA3SR6","created_at":"2026-05-18T12:26:39Z"},{"alias_kind":"pith_short_8","alias_value":"QXZ6T6W4","created_at":"2026-05-18T12:26:39Z"}],"graph_snapshots":[{"event_id":"sha256:e2d37f8e07a9be8e8a9348446021913cc5430f601464c58ec5252d742b4ada3c","target":"graph","created_at":"2026-05-18T04:03:42Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Many performance metrics have been introduced for the evaluation of classification performance, with different origins and niches of application: accuracy, macro-accuracy, area under the ROC curve, the ROC convex hull, the absolute error, and the Brier score (with its decomposition into refinement and calibration). One way of understanding the relation among some of these metrics is the use of variable operating conditions (either in the form of misclassification costs or class proportions). Thus, a metric may correspond to some expected loss over a range of operating conditions. One dimension","authors_text":"C\\`esar Ferri, Jos\\'e Hern\\'andez-Orallo, Peter Flach","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-12-12T18:03:42Z","title":"Threshold Choice Methods: the Missing Link"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.2640","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:96b3f407c0571390f0156124701ace423312709a286a9fa1ee8a1c746fdf8b2f","target":"record","created_at":"2026-05-18T04:03:42Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9b7524299459a81472c05e9799b88c9308200937b231d9af7f1311bc993e0c98","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-12-12T18:03:42Z","title_canon_sha256":"4c53ceb9f004da066c14d66d68edf83bfdc70fad2c15075386d57b8636984311"},"schema_version":"1.0","source":{"id":"1112.2640","kind":"arxiv","version":2}},"canonical_sha256":"85f3e9fadc7b120dca3e546661cf02339769b57bbd6ee27a80c1a39609f0f69e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85f3e9fadc7b120dca3e546661cf02339769b57bbd6ee27a80c1a39609f0f69e","first_computed_at":"2026-05-18T04:03:42.649284Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:03:42.649284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"myWpb3smWDXpmKyOzOeVlPUeTDoMkquQqeATYAntXOH/Is3S3gMo0b8CqM+DsNgu5SiCzzx9g6OibrnAx+irAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:03:42.649739Z","signed_message":"canonical_sha256_bytes"},"source_id":"1112.2640","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96b3f407c0571390f0156124701ace423312709a286a9fa1ee8a1c746fdf8b2f","sha256:e2d37f8e07a9be8e8a9348446021913cc5430f601464c58ec5252d742b4ada3c"],"state_sha256":"07c23e4f2b035de1d2e6660e6326b2b53aa2dc2e9ac9200b438c0974dc215d87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7QCiXF1ZK/MWB6KZ6PDdx5e4I0QXPkGbYi2fy6ak+yvqGnERrAowempCuqf9yAUA72FNvuCms9DfFkisACmkDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T01:55:23.573179Z","bundle_sha256":"ddb55b523a77b71892c207f1de626f84f3dfaab53295a0563db5b3cb135bf877"}}