{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:JKTGY3J4KRSHZWLHCVOJ7NWWGE","short_pith_number":"pith:JKTGY3J4","schema_version":"1.0","canonical_sha256":"4aa66c6d3c54647cd967155c9fb6d6310e4e917d7c48ca3e2c3468dd4e833036","source":{"kind":"arxiv","id":"2207.12043","version":2},"attestation_state":"computed","paper":{"title":"Representational Ethical Model Calibration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.LG","authors_text":"Amy Nelson, Daniel Herron, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Isabel Straw, James K Ruffle, Parashkev Nachev, Robert Carruthers","submitted_at":"2022-07-25T10:33:39Z","abstract_excerpt":"Equity is widely held to be fundamental to the ethics of healthcare. In the context of clinical decision-making, it rests on the comparative fidelity of the intelligence -- evidence-based or intuitive -- guiding the management of each individual patient. Though brought to recent attention by the individuating power of contemporary machine learning, such epistemic equity arises in the context of any decision guidance, whether traditional or innovative. Yet no general framework for its quantification, let alone assurance, currently exists. Here we formulate epistemic equity in terms of model fid"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2207.12043","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-07-25T10:33:39Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"988ce23a3d5f42168b3a116f1dd06dea3f72cd3e8f8b8aa33acf339aee27b654","abstract_canon_sha256":"ec15541bd0412e4bf38a593b037a76f7b0060fcb6c0c999662b446f267475aaa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:08:04.645236Z","signature_b64":"00LFjkHQcWkGq2P7jsLxAevFaJalHuxqriXnybhyhhn+GeBgHqOnPQQDuDcuYxfuUvYbNXGr4BaXpVku3daYDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4aa66c6d3c54647cd967155c9fb6d6310e4e917d7c48ca3e2c3468dd4e833036","last_reissued_at":"2026-07-05T05:08:04.644663Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:08:04.644663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Representational Ethical Model Calibration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.LG","authors_text":"Amy Nelson, Daniel Herron, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Isabel Straw, James K Ruffle, Parashkev Nachev, Robert Carruthers","submitted_at":"2022-07-25T10:33:39Z","abstract_excerpt":"Equity is widely held to be fundamental to the ethics of healthcare. In the context of clinical decision-making, it rests on the comparative fidelity of the intelligence -- evidence-based or intuitive -- guiding the management of each individual patient. Though brought to recent attention by the individuating power of contemporary machine learning, such epistemic equity arises in the context of any decision guidance, whether traditional or innovative. Yet no general framework for its quantification, let alone assurance, currently exists. Here we formulate epistemic equity in terms of model fid"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.12043","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2207.12043/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2207.12043","created_at":"2026-07-05T05:08:04.644758+00:00"},{"alias_kind":"arxiv_version","alias_value":"2207.12043v2","created_at":"2026-07-05T05:08:04.644758+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.12043","created_at":"2026-07-05T05:08:04.644758+00:00"},{"alias_kind":"pith_short_12","alias_value":"JKTGY3J4KRSH","created_at":"2026-07-05T05:08:04.644758+00:00"},{"alias_kind":"pith_short_16","alias_value":"JKTGY3J4KRSHZWLH","created_at":"2026-07-05T05:08:04.644758+00:00"},{"alias_kind":"pith_short_8","alias_value":"JKTGY3J4","created_at":"2026-07-05T05:08:04.644758+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE","json":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE.json","graph_json":"https://pith.science/api/pith-number/JKTGY3J4KRSHZWLHCVOJ7NWWGE/graph.json","events_json":"https://pith.science/api/pith-number/JKTGY3J4KRSHZWLHCVOJ7NWWGE/events.json","paper":"https://pith.science/paper/JKTGY3J4"},"agent_actions":{"view_html":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE","download_json":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE.json","view_paper":"https://pith.science/paper/JKTGY3J4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2207.12043&json=true","fetch_graph":"https://pith.science/api/pith-number/JKTGY3J4KRSHZWLHCVOJ7NWWGE/graph.json","fetch_events":"https://pith.science/api/pith-number/JKTGY3J4KRSHZWLHCVOJ7NWWGE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE/action/storage_attestation","attest_author":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE/action/author_attestation","sign_citation":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE/action/citation_signature","submit_replication":"https://pith.science/pith/JKTGY3J4KRSHZWLHCVOJ7NWWGE/action/replication_record"}},"created_at":"2026-07-05T05:08:04.644758+00:00","updated_at":"2026-07-05T05:08:04.644758+00:00"}