{"id":"W2898873992","doi":"10.9778/cmajo.20180089","title":"Disparities in diagnosis of advanced melanoma: a population-based cohort study","year":2018,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Queen's University","funders":"","keywords":"Medicine; Melanoma; Poisson regression; Cancer registry; Retrospective cohort study; Relative risk; Confidence interval; Cohort; Population; Cohort study; Cancer; Internal medicine; Socioeconomic status; Demography; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006975799,0.0002459876,0.0002535598,0.0005641287,0.001305003,0.0006894834,0.000529113,0.0003620083,0.001457933],"category_scores_gemma":[0.001344979,0.000308964,0.0004217652,0.001552203,0.0004391311,0.0003648126,0.0005973027,0.0004622038,0.000139396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003933021,"about_ca_system_score_gemma":0.004641271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7509968,"about_ca_topic_score_gemma":0.8208955,"domain_scores_codex":[0.9993985,0.00007630719,0.00003243581,0.0001247965,0.000136577,0.0002315004],"domain_scores_gemma":[0.9993011,0.000047597,0.0002125773,0.00008751806,0.0001513224,0.0001999649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003797345,0.0000285163,0.9987115,0.000005222363,0.00002897029,0.00004673844,0.0003239684,0.00001299191,0.00009986026,0.00002893986,0.0001809497,0.0004944457],"study_design_scores_gemma":[0.000008572775,0.00002916405,0.9991496,0.000006776652,0.00002047842,0.00004984214,0.0003777234,0.00007830978,0.00001399428,0.00001429553,0.0002484643,0.000002846379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985858,0.00009802935,0.00005838958,0.0001013454,0.000003826269,0.00002497948,0.0007078398,0.000001983299,0.0004177997],"genre_scores_gemma":[0.9994555,0.00007003435,0.00005059161,0.00002644808,0.000003499227,0.000009156865,0.000245602,9.810012e-7,0.0001382616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7509968,"threshold_uncertainty_score":0.5009392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196443316872464,"score_gpt":0.3066303922206995,"score_spread":0.2869860605334532,"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."}}