{"id":"W1992539804","doi":"10.1136/jmg.2005.032441","title":"MELPREDICT: a logistic regression model to estimate CDKN2A carrier probability","year":2005,"lang":"en","type":"article","venue":"Journal of Medical Genetics","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; American Skin Association; National Institutes of Health; Dermatology Foundation","keywords":"CDKN2A; Proband; Logistic regression; Germline mutation; Confidence interval; Statistics; Receiver operating characteristic; Penetrance; Mutation; Medicine; Genetics; Internal medicine; Cancer; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007942654,0.000136464,0.0003480087,0.0001357575,0.00004672333,0.00001807928,0.0002031423,0.0001573219,0.0004118347],"category_scores_gemma":[0.001147523,0.00009278747,0.0001298834,0.0001362716,0.00007857657,0.00002331284,0.0001077707,0.0004240744,0.00002321292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169308,"about_ca_system_score_gemma":0.0003302859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002840122,"about_ca_topic_score_gemma":0.00002110669,"domain_scores_codex":[0.997316,0.00004319316,0.0006424965,0.0001618041,0.001593204,0.0002432905],"domain_scores_gemma":[0.9983144,0.00004528816,0.0001776943,0.0002551155,0.0002328021,0.0009747449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00246687,0.002193073,0.005440221,0.0006348726,0.0004307283,0.002879296,0.001795679,0.1156958,0.009655158,0.0004251094,0.1073805,0.7510027],"study_design_scores_gemma":[0.005425545,0.003410524,0.003913224,0.001306247,0.0007778953,0.008110071,0.0002401478,0.6849928,0.004794709,0.001866607,0.2847258,0.0004363851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8258238,0.0007857435,0.1408204,0.02998756,0.0006907508,0.0004361554,0.000005454011,0.00004601482,0.001404091],"genre_scores_gemma":[0.9606118,0.0002431573,0.03492413,0.0023531,0.0008758146,0.000004377172,0.000001251269,0.00001948784,0.0009668511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7505664,"threshold_uncertainty_score":0.4509301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05122499361929941,"score_gpt":0.3610103133530479,"score_spread":0.3097853197337485,"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."}}