{"id":"W4386862265","doi":"10.2196/40149","title":"Cancer and Atrial Fibrillation Comorbidities Among 25 Million Citizens in Shanghai, China: Medical Insurance Database Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Hospital Development Center; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; Shanghai Municipal Health Commission","keywords":"Medicine; Cancer; Population; Cancer registry; Atrial fibrillation; Epidemiology; Breast cancer; Internal medicine; Colorectal cancer; Demography; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005796557,0.0004142253,0.0005128967,0.001661433,0.0006282075,0.0006026662,0.0003683453,0.0003367317,0.001058503],"category_scores_gemma":[0.001293965,0.0003486604,0.0005270653,0.003504981,0.0002195245,0.0004215126,0.0007153521,0.0003835758,0.0002001241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122274,"about_ca_system_score_gemma":0.001678846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07268401,"about_ca_topic_score_gemma":0.09453302,"domain_scores_codex":[0.9995271,0.00005768352,0.0001070029,0.0001155462,0.00009704678,0.00009565699],"domain_scores_gemma":[0.9989779,0.00007240999,0.0003659489,0.00009088685,0.0001798275,0.0003129954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000424173,0.00001183195,0.9983694,0.00003313559,0.00006022553,0.00005648198,0.00009031616,0.00003115313,0.00006253441,0.00001346119,0.0005839617,0.0006450833],"study_design_scores_gemma":[0.000007720004,0.0000135139,0.9994399,0.00001031693,0.00003788301,0.00005823873,0.00009201423,0.00009093113,0.00001344758,0.000006383698,0.0002269593,0.000002704299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893926,0.0006832253,0.00007008808,0.0001270025,0.00001369281,0.00004023661,0.00916942,0.00001120555,0.0004924657],"genre_scores_gemma":[0.9913422,0.0003737146,0.0001062265,0.0001067533,0.00001958341,0.00005994191,0.00776411,0.000002458767,0.0002249118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07268401,"threshold_uncertainty_score":0.1445219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0741132008327533,"score_gpt":0.377337413868592,"score_spread":0.3032242130358387,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}