{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:GJ2KO6R6MRBQLZ6TTJLZELN5T5","short_pith_number":"pith:GJ2KO6R6","schema_version":"1.0","canonical_sha256":"3274a77a3e644305e7d39a57922dbd9f59a3f034f68ceaf39b5ead5379daf207","source":{"kind":"arxiv","id":"1809.06639","version":1},"attestation_state":"computed","paper":{"title":"Lung Cancer Concept Annotation from Spanish Clinical Narratives","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Alejandro Rodr\\'iguez-Gonz\\'alez, Ernestina Menasalvas, Juan Manuel Tu\\~nas, Marjan Najafabadipour","submitted_at":"2018-09-18T10:55:03Z","abstract_excerpt":"Recent rapid increase in the generation of clinical data and rapid development of computational science make us able to extract new insights from massive datasets in healthcare industry. Oncological clinical notes are creating rich databases for documenting patients history and they potentially contain lots of patterns that could help in better management of the disease. However, these patterns are locked within free text (unstructured) portions of clinical documents and consequence in limiting health professionals to extract useful information from them and to finally perform Query and Answer"},"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":"1809.06639","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2018-09-18T10:55:03Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"72f496a13ab9418b713f565542f7abe595ad8441bfec5f949a140da97f363fc1","abstract_canon_sha256":"aba447c44ab2cdb715a91aa05344c6c452622e9a7820d96d232259faf5a9bd8e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:13.407585Z","signature_b64":"tnQHNgkxaGczSsO6j8nLNCb8g4hB67ctDe+DQyB7bQCLwfJXUQxQKDqAgJx01TBo9sPt1deGttUC18YM/XKXBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3274a77a3e644305e7d39a57922dbd9f59a3f034f68ceaf39b5ead5379daf207","last_reissued_at":"2026-05-18T00:05:13.406948Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:13.406948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Lung Cancer Concept Annotation from Spanish Clinical Narratives","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Alejandro Rodr\\'iguez-Gonz\\'alez, Ernestina Menasalvas, Juan Manuel Tu\\~nas, Marjan Najafabadipour","submitted_at":"2018-09-18T10:55:03Z","abstract_excerpt":"Recent rapid increase in the generation of clinical data and rapid development of computational science make us able to extract new insights from massive datasets in healthcare industry. Oncological clinical notes are creating rich databases for documenting patients history and they potentially contain lots of patterns that could help in better management of the disease. However, these patterns are locked within free text (unstructured) portions of clinical documents and consequence in limiting health professionals to extract useful information from them and to finally perform Query and Answer"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06639","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1809.06639","created_at":"2026-05-18T00:05:13.407049+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.06639v1","created_at":"2026-05-18T00:05:13.407049+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06639","created_at":"2026-05-18T00:05:13.407049+00:00"},{"alias_kind":"pith_short_12","alias_value":"GJ2KO6R6MRBQ","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_16","alias_value":"GJ2KO6R6MRBQLZ6T","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_8","alias_value":"GJ2KO6R6","created_at":"2026-05-18T12:32:25.280505+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/GJ2KO6R6MRBQLZ6TTJLZELN5T5","json":"https://pith.science/pith/GJ2KO6R6MRBQLZ6TTJLZELN5T5.json","graph_json":"https://pith.science/api/pith-number/GJ2KO6R6MRBQLZ6TTJLZELN5T5/graph.json","events_json":"https://pith.science/api/pith-number/GJ2KO6R6MRBQLZ6TTJLZELN5T5/events.json","paper":"https://pith.science/paper/GJ2KO6R6"},"agent_actions":{"view_html":"https://pith.science/pith/GJ2KO6R6MRBQLZ6TTJLZELN5T5","download_json":"https://pith.science/pith/GJ2KO6R6MRBQLZ6TTJLZELN5T5.json","view_paper":"https://pith.science/paper/GJ2KO6R6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.06639&json=true","fetch_graph":"https://pith.science/api/pith-number/GJ2KO6R6MRBQLZ6TTJLZELN5T5/graph.json","fetch_events":"https://pith.science/api/pith-number/GJ2KO6R6MRBQLZ6TTJLZELN5T5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GJ2KO6R6MRBQLZ6TTJLZELN5T5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GJ2KO6R6MRBQLZ6TTJLZELN5T5/action/storage_attestation","attest_author":"https://pith.science/pith/GJ2KO6R6MRBQLZ6TTJLZELN5T5/action/author_attestation","sign_citation":"https://pith.science/pith/GJ2KO6R6MRBQLZ6TTJLZELN5T5/action/citation_signature","submit_replication":"https://pith.science/pith/GJ2KO6R6MRBQLZ6TTJLZELN5T5/action/replication_record"}},"created_at":"2026-05-18T00:05:13.407049+00:00","updated_at":"2026-05-18T00:05:13.407049+00:00"}