{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:SVUWV2MFLWHDS4TNCOWYHCLS3Y","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":"658329c7bac5408f041b7d898e23e1cf2efe4c328961b1564cd2e531b76dff62","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-28T00:08:33Z","title_canon_sha256":"3b5fa7e69a122c2789439414b67c29590c01b2ab01cfaab1b2830fd04799c4d1"},"schema_version":"1.0","source":{"id":"1711.10057","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.10057","created_at":"2026-05-18T00:29:07Z"},{"alias_kind":"arxiv_version","alias_value":"1711.10057v2","created_at":"2026-05-18T00:29:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.10057","created_at":"2026-05-18T00:29:07Z"},{"alias_kind":"pith_short_12","alias_value":"SVUWV2MFLWHD","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SVUWV2MFLWHDS4TN","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SVUWV2MF","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:2ea7171c7b48f3ddb7fefbc713c1f99de609c2bf6b87c87f2c903f2392a43a0f","target":"graph","created_at":"2026-05-18T00:29:07Z","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":"Though suicide is a major public health problem in the US, machine learning methods are not commonly used to predict an individual's risk of attempting/committing suicide. In the present work, starting with an anonymized collection of electronic health records for 522,056 unique, California-resident adolescents, we develop neural network models to predict suicide attempts. We frame the problem as a binary classification problem in which we use a patient's data from 2006-2009 to predict either the presence (1) or absence (0) of a suicide attempt in 2010. After addressing issues such as severely","authors_text":"Harish S. Bhat, Sidra J. Goldman-Mellor","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-28T00:08:33Z","title":"Predicting Adolescent Suicide Attempts with Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.10057","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:db672bcde0a2c6abe7d224fb848427f4b4bc61ab83a675c5c9d4cf7bb179df65","target":"record","created_at":"2026-05-18T00:29:07Z","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":"658329c7bac5408f041b7d898e23e1cf2efe4c328961b1564cd2e531b76dff62","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-28T00:08:33Z","title_canon_sha256":"3b5fa7e69a122c2789439414b67c29590c01b2ab01cfaab1b2830fd04799c4d1"},"schema_version":"1.0","source":{"id":"1711.10057","kind":"arxiv","version":2}},"canonical_sha256":"95696ae9855d8e39726d13ad838972de16cc45972e3a6fc47eaa180cb23b6402","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95696ae9855d8e39726d13ad838972de16cc45972e3a6fc47eaa180cb23b6402","first_computed_at":"2026-05-18T00:29:07.888873Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:07.888873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UH9KJ+NwbXGHf8lC2MXW1F+343WqWw+vrW/53SM3NjWYk+u/3CFOZHWQ8CDLhRGSkD7TjzMEmtzKZPRngphMDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:07.889635Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.10057","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db672bcde0a2c6abe7d224fb848427f4b4bc61ab83a675c5c9d4cf7bb179df65","sha256:2ea7171c7b48f3ddb7fefbc713c1f99de609c2bf6b87c87f2c903f2392a43a0f"],"state_sha256":"8ecbae9236d298626b5c860a834605f92034accd5680ef50640685b4855d2b31"}