{"id":"W4409914705","doi":"10.2196/62756","title":"Survival Tree Analysis of Interactions Among Factors Associated With Colorectal Cancer Risk in Patients With Type 2 Diabetes: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Colorectal cancer; Retrospective cohort study; Risk factor; Internal medicine; Diabetes mellitus; Type 2 diabetes; Cohort; Cancer; Cohort study; Medical record; Cancer registry; Abdominal obesity; Obesity; Waist; Endocrinology","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":[0.003431257,0.0003852168,0.000636,0.001581655,0.000630888,0.0007748773,0.0006751891,0.0004483857,0.001973059],"category_scores_gemma":[0.007260832,0.0003965022,0.002084885,0.002278562,0.0002147884,0.0005650265,0.0006723067,0.0009539333,0.0002404899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005550446,"about_ca_system_score_gemma":0.000976576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450355,"about_ca_topic_score_gemma":0.01132425,"domain_scores_codex":[0.998468,0.0005341348,0.0001707276,0.0004352897,0.0001423148,0.0002495473],"domain_scores_gemma":[0.9930981,0.002650281,0.001876478,0.001066563,0.0007720963,0.0005365473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003442921,0.00002278961,0.9976247,0.00001378614,0.0002460133,0.00007737963,0.00004396832,0.0002984903,0.00006081188,0.00003175293,0.0001899896,0.001045934],"study_design_scores_gemma":[0.00004028316,0.0003007395,0.985486,0.00001808031,0.0005400321,0.0005225449,0.0002246238,0.01214939,0.0001001992,0.0001568155,0.0004407745,0.00002039155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960121,0.0002100385,0.00154422,0.00003613142,0.000010526,0.00002822895,0.002013268,0.00001477735,0.0001307704],"genre_scores_gemma":[0.9960456,0.0001094693,0.0009712047,0.00001697825,0.000008840473,0.00004574829,0.002634977,0.000006620198,0.0001605553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450355,"threshold_uncertainty_score":0.02883822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008947405827897834,"score_gpt":0.2746109231529417,"score_spread":0.2656635173250439,"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."}}