{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:N7FW7B4RUVFJTNGMLUZYIFBWVL","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":"cc202260dee5ae78e73a3f082fbcf01e57da1280e7cfdfecee833d32bb6f6d39","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-16T15:01:53Z","title_canon_sha256":"a568395771d9188e994b5d488907693d1ed8befabd413987e15955091b1536a5"},"schema_version":"1.0","source":{"id":"2412.11839","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11839","created_at":"2026-07-05T09:49:52Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11839v1","created_at":"2026-07-05T09:49:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11839","created_at":"2026-07-05T09:49:52Z"},{"alias_kind":"pith_short_12","alias_value":"N7FW7B4RUVFJ","created_at":"2026-07-05T09:49:52Z"},{"alias_kind":"pith_short_16","alias_value":"N7FW7B4RUVFJTNGM","created_at":"2026-07-05T09:49:52Z"},{"alias_kind":"pith_short_8","alias_value":"N7FW7B4R","created_at":"2026-07-05T09:49:52Z"}],"graph_snapshots":[{"event_id":"sha256:e0c3613e1e1cc1cc69063f9b80d75f1ca8976c9c365f2da088e1a9855e63b5b9","target":"graph","created_at":"2026-07-05T09:49:52Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.11839/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Use real word data to evaluate the performance of the electrocardiographic markers of GEH as features in a machine learning model with Standard ECG features and Risk Factors in Predicting Outcome of patients in a population referred to a tertiary cardiology hospital.\n  Patients forwarded to specific evaluation in a cardiology specialized hospital performed an ECG and a risk factor anamnesis. A series of follow up attendances occurred in periods of 6 months, 12 months and 15 months to check for cardiovascular related events (mortality or new nonfatal cardiovascular events (Stroke, MI, PCI, CS),","authors_text":"Lucas Jos\\'e da Costa, Mariana F. N. de Marchi, Renata Valeri de Freitas, Renato de Aguiar Hortegal, Vinicius Ruiz Uemoto","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-16T15:01:53Z","title":"Evaluating the Efficacy of Vectocardiographic and ECG Parameters for Efficient Tertiary Cardiology Care Allocation Using Decision Tree Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11839","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":"sha256:804c1104925a19a7aa6d9554f44811dc9646156227f0c5a8c1f19c978ebab004","target":"record","created_at":"2026-07-05T09:49:52Z","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":"cc202260dee5ae78e73a3f082fbcf01e57da1280e7cfdfecee833d32bb6f6d39","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-16T15:01:53Z","title_canon_sha256":"a568395771d9188e994b5d488907693d1ed8befabd413987e15955091b1536a5"},"schema_version":"1.0","source":{"id":"2412.11839","kind":"arxiv","version":1}},"canonical_sha256":"6fcb6f8791a54a99b4cc5d33841436aaf33c1f64c56a775fed1a5e9165056adf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fcb6f8791a54a99b4cc5d33841436aaf33c1f64c56a775fed1a5e9165056adf","first_computed_at":"2026-07-05T09:49:52.424211Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:52.424211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9iauKW44TxqAqOXHneTvOaUrWUR90aQTVGM5+nWqMEcqHwolUc2Mtx1L4zpa0gBCKbJJZuLvA5hYP4/rScj6DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:52.424812Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.11839","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:804c1104925a19a7aa6d9554f44811dc9646156227f0c5a8c1f19c978ebab004","sha256:e0c3613e1e1cc1cc69063f9b80d75f1ca8976c9c365f2da088e1a9855e63b5b9"],"state_sha256":"7c85cda7696fff59a7aecb307193f90e1d9e2920c64d1b0c5bfa0522b98ae936"}