{"id":"W2030957668","doi":"10.1093/annonc/mdn686","title":"A comparison of models used to predict MLH1, MSH2 and MSH6 mutation carriers","year":2009,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University; Jewish General Hospital","funders":"","keywords":"Lynch syndrome; MLH1; Pedigree chart; Medicine; Proband; Family history; MSH6; Mutation; Penetrance; Cancer; Colorectal cancer; Endometrial cancer; MSH2; Genetics; Internal medicine; Oncology; DNA mismatch repair; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02197834,0.001993806,0.002094194,0.002887702,0.0007136804,0.002405548,0.00170122,0.001462238,0.002455769],"category_scores_gemma":[0.02732458,0.0004657595,0.003203165,0.001050461,0.0004150836,0.00131321,0.0009369181,0.002130433,0.0006996202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806672,"about_ca_system_score_gemma":0.002189964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01729949,"about_ca_topic_score_gemma":0.007886912,"domain_scores_codex":[0.9969242,0.001984246,0.000253544,0.0004034988,0.0002319541,0.0002025746],"domain_scores_gemma":[0.9447169,0.05084052,0.0008446475,0.0007213452,0.00204942,0.000827188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02213942,0.001989081,0.3642571,0.0006583738,0.008163327,0.0005103732,0.0003974038,0.5010718,0.001342757,0.001329832,0.007623259,0.09051717],"study_design_scores_gemma":[0.0004351709,0.001944595,0.03354414,0.0001063935,0.001684133,0.0002091736,0.0002970102,0.9585016,0.0007717411,0.001496282,0.0009344178,0.00007538827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558653,0.003788681,0.03037063,0.001878784,0.0004455667,0.0002946952,0.004580788,0.00064132,0.002134222],"genre_scores_gemma":[0.9868588,0.000622944,0.007253035,0.0001950006,0.00009280621,0.0001197887,0.003750106,0.0001033484,0.001004076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02197834,"threshold_uncertainty_score":0.116234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1675799415545644,"score_gpt":0.4527274232409352,"score_spread":0.2851474816863708,"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."}}