{"id":"W3133011587","doi":"10.2196/21401","title":"Development of a Web-Based System for Exploring Cancer Risk With Long-term Use of Drugs: Logistic Regression Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Taipei Medical University; Ministry of Education, India","keywords":"Medicine; Cancer; Confounding; Odds ratio; Logistic regression; Epidemiology; Case-control study; Cohort; Population; Internal medicine; Cohort study; Nested case-control study; Cancer registry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004901205,0.0001473152,0.0003789408,0.00005017535,0.000104558,0.0000206619,0.00007717074,0.00007596717,0.000001453145],"category_scores_gemma":[0.0001017488,0.0001154972,0.00004984859,0.0001435303,0.0000659693,0.000008940077,0.00003998168,0.00006212389,6.09078e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004162095,"about_ca_system_score_gemma":0.002333521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005595016,"about_ca_topic_score_gemma":0.0003702842,"domain_scores_codex":[0.9986411,0.0001364062,0.0003839992,0.000361045,0.0001586671,0.0003188363],"domain_scores_gemma":[0.9988395,0.0000417592,0.0003258856,0.0002849051,0.0002884799,0.0002194463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001440661,0.0004959359,0.7589738,0.01357889,0.0002682635,4.906957e-7,0.001929893,0.0001930694,0.01686914,0.0001782821,0.003303575,0.202768],"study_design_scores_gemma":[0.008319169,0.0005224391,0.2812837,0.0007125911,0.00001309634,0.00001928634,0.00200027,0.001138381,0.008584992,0.000001173964,0.6966059,0.0007990725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793699,0.006486041,0.01259738,0.0001109263,0.0007262069,0.0005008334,0.0001617532,0.00001498172,0.00003194817],"genre_scores_gemma":[0.9891837,0.001904186,0.007220216,0.0001024962,0.0006303893,0.0005855549,0.0002729453,0.00002234806,0.00007818694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6933023,"threshold_uncertainty_score":0.4709841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07660024293505843,"score_gpt":0.3113346684878174,"score_spread":0.234734425552759,"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."}}