{"id":"W4381337714","doi":"10.2337/db23-1386-p","title":"1386-P: Dipeptidyl Peptidase-4 Inhibitors and the Risk of Skin Cancer among Patients with Type 2 Diabetes—Population-Based Cohort Study","year":2023,"lang":"en","type":"article","venue":"Diabetes","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Skin cancer; Medicine; Hazard ratio; Dipeptidyl peptidase-4; Internal medicine; Sulfonylurea; Population; Melanoma; Cohort; Proportional hazards model; Cancer; Cohort study; Incidence (geometry); Confidence interval; Type 2 diabetes; Diabetes mellitus; Oncology; Endocrinology; Insulin; Cancer research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001031722,0.0004074933,0.0004925294,0.0006494156,0.0004506518,0.0008650042,0.0006114577,0.0007608649,0.00232568],"category_scores_gemma":[0.002005287,0.0005744759,0.001391272,0.001752458,0.0002006863,0.000523882,0.0004989982,0.001272923,0.000621785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004136996,"about_ca_system_score_gemma":0.0005210002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047305,"about_ca_topic_score_gemma":0.007879245,"domain_scores_codex":[0.9990746,0.0002026193,0.0001042876,0.0003325846,0.0001745515,0.0001112428],"domain_scores_gemma":[0.9989529,0.0001002566,0.0004364153,0.0002166146,0.0001220532,0.000171773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000723286,0.00009773253,0.9968411,0.0000275743,0.0005162074,0.00006673289,0.0000318573,0.00006222634,0.0002107963,0.00002067001,0.0004485799,0.0009533623],"study_design_scores_gemma":[0.0001595367,0.0002340982,0.9979689,0.00001499162,0.0003130636,0.000244485,0.00006754842,0.000350435,0.00006025846,0.0000384384,0.0005384893,0.000009857875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990702,0.0006441725,0.0003809866,0.0001423086,0.0000579154,0.00006370663,0.007323337,0.00001517972,0.0006705032],"genre_scores_gemma":[0.9952029,0.0003044298,0.0002968023,0.0001324755,0.00004900388,0.00008674851,0.003295665,0.000007681531,0.0006242989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047305,"threshold_uncertainty_score":0.02082419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005704715417380714,"score_gpt":0.2358370281025958,"score_spread":0.2301323126852151,"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."}}