{"id":"W2529542018","doi":"10.1002/cam4.892","title":"Time to follow‐up of an abnormal mammogram in women with diabetes: a population‐based study","year":2016,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada; Ontario Ministry of Health and Long-Term Care; Ontario Institute for Cancer Research; Heart and Stroke Foundation of Canada; Institute for Clinical Evaluative Sciences; Cancer Care Ontario","keywords":"Medicine; Diabetes mellitus; Mammography; Breast cancer; Hazard ratio; Incidence (geometry); Obstetrics; Population; Gynecology; Breast cancer screening; Retrospective cohort study; Cohort; Cohort study; Cancer; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004503309,0.0001689351,0.0005451976,0.000249339,0.00002567656,0.000003059856,0.0001352643,0.00004619576,0.001821383],"category_scores_gemma":[0.0001225139,0.00009506584,0.00002140118,0.0006353987,0.00007094405,0.0001313973,0.00002091678,0.00008699611,0.00001607464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037716,"about_ca_system_score_gemma":0.0001778101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009696193,"about_ca_topic_score_gemma":0.0007683794,"domain_scores_codex":[0.9983222,0.0000481198,0.0003632882,0.0003116155,0.0005608247,0.0003939228],"domain_scores_gemma":[0.9989892,0.00005407043,0.000101171,0.0003697435,0.0001545078,0.0003313055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003218113,0.000158411,0.9363912,0.00005188111,0.00006138463,0.00005360045,0.001661696,0.00008280042,0.002819005,0.000002409455,0.0006408944,0.05485864],"study_design_scores_gemma":[0.01176754,0.008889733,0.9744344,0.002060571,0.00008952622,0.000002195518,0.001324323,0.00009018605,0.0003414121,0.00001378194,0.0008238019,0.0001624956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963737,0.0001309503,0.00005491787,0.002252371,0.00008784146,0.0007385983,0.00001190178,0.00003994248,0.0003097372],"genre_scores_gemma":[0.9966845,0.000002098471,0.0001372717,0.001988285,0.0002183128,0.0003693579,0.000007390997,0.00002166753,0.0005711265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05469614,"threshold_uncertainty_score":0.9990911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03568243052008397,"score_gpt":0.3310555253072321,"score_spread":0.2953730947871482,"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."}}