{"id":"W2114262826","doi":"10.1158/1055-9965.epi-14-1062","title":"Development and Validation of a Melanoma Risk Score Based on Pooled Data from 16 Case–Control Studies","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency","funders":"National Cancer Institute; Medical Research Council; Cancer Research UK","keywords":"Medicine; Confidence interval; Odds ratio; Imputation (statistics); Logistic regression; Statistics; Missing data; Receiver operating characteristic; Family history; Odds; Sunburn; Risk assessment; Demography; Internal medicine; Computer science; Mathematics; Dermatology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002456424,0.0001813438,0.0005579492,0.0001703036,0.00007883839,0.000004049135,0.00008748614,0.0001232129,0.0000711664],"category_scores_gemma":[0.001462905,0.0001512505,0.00006243819,0.0001106659,0.0001209731,0.00006591191,0.00008442257,0.0001101042,0.00001053695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073184,"about_ca_system_score_gemma":0.000156833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004964391,"about_ca_topic_score_gemma":0.0009266136,"domain_scores_codex":[0.9978505,0.0006876831,0.0006154689,0.0005188737,0.0001332692,0.0001942457],"domain_scores_gemma":[0.998139,0.000592613,0.0004946931,0.0005082666,0.0001235918,0.0001418218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007440948,0.0004366942,0.5816641,0.0003619179,0.008864078,0.0003758853,0.0005848117,0.000313596,0.0007724781,0.000102392,0.02718352,0.3718995],"study_design_scores_gemma":[0.06300293,0.006629533,0.6596832,0.005575249,0.02192333,0.001365864,0.009798305,0.1163837,0.01687006,0.01536794,0.08100867,0.002391181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736783,0.00724973,0.01535852,0.001750229,0.0006936468,0.0009175202,0.000116535,0.00006103484,0.0001744875],"genre_scores_gemma":[0.9909763,0.0003115516,0.007426125,0.0005181789,0.0001112579,0.0001016626,0.0003469427,0.00001552896,0.0001924278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3695083,"threshold_uncertainty_score":0.6167818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1640874951957774,"score_gpt":0.3868018962920107,"score_spread":0.2227144010962333,"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."}}