{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:D5HCQOXOLEA6GAMIL757LYIOY4","short_pith_number":"pith:D5HCQOXO","canonical_record":{"source":{"id":"1506.05776","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-06-18T19:22:42Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"5eb58ddd23a7e33823135c5422a37e12b1ee7d55f7dde00deb81c31f0e2618d0","abstract_canon_sha256":"a38498e4461c2013c6fd3591f66c160c75e74da399c219f904c6079d2902e349"},"schema_version":"1.0"},"canonical_sha256":"1f4e283aee5901e301885ffbf5e10ec721f3e1800150d62e1982019bf23f16b2","source":{"kind":"arxiv","id":"1506.05776","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1506.05776","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"arxiv_version","alias_value":"1506.05776v1","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.05776","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"pith_short_12","alias_value":"D5HCQOXOLEA6","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"D5HCQOXOLEA6GAMI","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"D5HCQOXO","created_at":"2026-05-18T12:29:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:D5HCQOXOLEA6GAMIL757LYIOY4","target":"record","payload":{"canonical_record":{"source":{"id":"1506.05776","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-06-18T19:22:42Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"5eb58ddd23a7e33823135c5422a37e12b1ee7d55f7dde00deb81c31f0e2618d0","abstract_canon_sha256":"a38498e4461c2013c6fd3591f66c160c75e74da399c219f904c6079d2902e349"},"schema_version":"1.0"},"canonical_sha256":"1f4e283aee5901e301885ffbf5e10ec721f3e1800150d62e1982019bf23f16b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:44:09.720604Z","signature_b64":"5ffRuHImhgg6UZQ7wpJJf7oPsy6+a6zUu4tI+CWH4iexRxIJblh7bqMgbCKGgNErWdVTIPQCrBtyV/jBkvkOAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f4e283aee5901e301885ffbf5e10ec721f3e1800150d62e1982019bf23f16b2","last_reissued_at":"2026-05-18T01:44:09.719827Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:44:09.719827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1506.05776","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:44:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MkEbRlMbe1DEVqVGLBCPQlBl8/wiuYztSY2pzniYwF8QZisWu5Ep4Lq6JHTG3JEleKsRURH+am9Y2TW+7QDHAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-21T23:28:43.055143Z"},"content_sha256":"57c4a97bd2877313b6f0d88a3ba2bbc7e6a6e62ba36147813c4933a31822d996","schema_version":"1.0","event_id":"sha256:57c4a97bd2877313b6f0d88a3ba2bbc7e6a6e62ba36147813c4933a31822d996"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:D5HCQOXOLEA6GAMIL757LYIOY4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A tree augmented naive Bayesian network experiment for breast cancer prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"stat.ML","authors_text":"Ping Ren","submitted_at":"2015-06-18T19:22:42Z","abstract_excerpt":"In order to investigate the breast cancer prediction problem on the aging population with the grades of DCIS, we conduct a tree augmented naive Bayesian network experiment trained and tested on a large clinical dataset including consecutive diagnostic mammography examinations, consequent biopsy outcomes and related cancer registry records in the population of women across all ages. The aggregated results of our ten-fold cross validation method recommend a biopsy threshold higher than 2% for the aging population."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.05776","kind":"arxiv","version":1},"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":"2026-05-18T01:44:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5hgnL6JUXmKNJWAq3j/Kiz++b7g7U5JbimbnRNuGfd9S8foT+M3mYJLK9HZVfGvi4HVz49AjY6uPIQldq60FAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-21T23:28:43.055490Z"},"content_sha256":"24fbb828844413bc48f9d52e9488892494089a406026ad561faebc7e393efd7d","schema_version":"1.0","event_id":"sha256:24fbb828844413bc48f9d52e9488892494089a406026ad561faebc7e393efd7d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D5HCQOXOLEA6GAMIL757LYIOY4/bundle.json","state_url":"https://pith.science/pith/D5HCQOXOLEA6GAMIL757LYIOY4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D5HCQOXOLEA6GAMIL757LYIOY4/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":"2026-06-21T23:28:43Z","links":{"resolver":"https://pith.science/pith/D5HCQOXOLEA6GAMIL757LYIOY4","bundle":"https://pith.science/pith/D5HCQOXOLEA6GAMIL757LYIOY4/bundle.json","state":"https://pith.science/pith/D5HCQOXOLEA6GAMIL757LYIOY4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D5HCQOXOLEA6GAMIL757LYIOY4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:D5HCQOXOLEA6GAMIL757LYIOY4","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":"a38498e4461c2013c6fd3591f66c160c75e74da399c219f904c6079d2902e349","cross_cats_sorted":["q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-06-18T19:22:42Z","title_canon_sha256":"5eb58ddd23a7e33823135c5422a37e12b1ee7d55f7dde00deb81c31f0e2618d0"},"schema_version":"1.0","source":{"id":"1506.05776","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1506.05776","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"arxiv_version","alias_value":"1506.05776v1","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.05776","created_at":"2026-05-18T01:44:09Z"},{"alias_kind":"pith_short_12","alias_value":"D5HCQOXOLEA6","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"D5HCQOXOLEA6GAMI","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"D5HCQOXO","created_at":"2026-05-18T12:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:24fbb828844413bc48f9d52e9488892494089a406026ad561faebc7e393efd7d","target":"graph","created_at":"2026-05-18T01:44:09Z","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":"In order to investigate the breast cancer prediction problem on the aging population with the grades of DCIS, we conduct a tree augmented naive Bayesian network experiment trained and tested on a large clinical dataset including consecutive diagnostic mammography examinations, consequent biopsy outcomes and related cancer registry records in the population of women across all ages. The aggregated results of our ten-fold cross validation method recommend a biopsy threshold higher than 2% for the aging population.","authors_text":"Ping Ren","cross_cats":["q-bio.QM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-06-18T19:22:42Z","title":"A tree augmented naive Bayesian network experiment for breast cancer prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.05776","kind":"arxiv","version":1},"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":"sha256:57c4a97bd2877313b6f0d88a3ba2bbc7e6a6e62ba36147813c4933a31822d996","target":"record","created_at":"2026-05-18T01:44:09Z","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":"a38498e4461c2013c6fd3591f66c160c75e74da399c219f904c6079d2902e349","cross_cats_sorted":["q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-06-18T19:22:42Z","title_canon_sha256":"5eb58ddd23a7e33823135c5422a37e12b1ee7d55f7dde00deb81c31f0e2618d0"},"schema_version":"1.0","source":{"id":"1506.05776","kind":"arxiv","version":1}},"canonical_sha256":"1f4e283aee5901e301885ffbf5e10ec721f3e1800150d62e1982019bf23f16b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f4e283aee5901e301885ffbf5e10ec721f3e1800150d62e1982019bf23f16b2","first_computed_at":"2026-05-18T01:44:09.719827Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:44:09.719827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5ffRuHImhgg6UZQ7wpJJf7oPsy6+a6zUu4tI+CWH4iexRxIJblh7bqMgbCKGgNErWdVTIPQCrBtyV/jBkvkOAw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:44:09.720604Z","signed_message":"canonical_sha256_bytes"},"source_id":"1506.05776","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:57c4a97bd2877313b6f0d88a3ba2bbc7e6a6e62ba36147813c4933a31822d996","sha256:24fbb828844413bc48f9d52e9488892494089a406026ad561faebc7e393efd7d"],"state_sha256":"40259ff95942aa7697ff404fbaa239304e4ad146e721289d950af1b9308af968"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gp5kDb3iNBL2cn06NAr92c6L30UbSAcJ8dtNhUicDhTkPxCn6qnDIgEH1rvKeVGPyeC+1yqRgGBheB8ZkA4zBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-21T23:28:43.057368Z","bundle_sha256":"15170255ff454ff4f79b7305c3eaa0032c512f99c707083e9f611014f412060a"}}