{"id":"W2333395853","doi":"10.1097/01.cot.0000288631.04891.85","title":"Prediction Models Help Identify Increased Risk of Gene Mutation Associated with Colorectal Cancer","year":2006,"lang":"en","type":"article","venue":"Oncology Times","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Mutation; Gene; Cancer; Genetics; Medicine; Computational biology; Biology; Oncology; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002705388,0.0001597708,0.0004039621,0.0001264591,0.00006992637,0.000005923492,0.0000658365,0.0002742424,0.0003858597],"category_scores_gemma":[0.0001284023,0.0001343911,0.00007104591,0.0002640278,0.0002012696,0.00007561994,0.00001841137,0.0002033359,0.000007227652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006210607,"about_ca_system_score_gemma":0.0005042897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198947,"about_ca_topic_score_gemma":0.001767835,"domain_scores_codex":[0.9986646,0.0001625911,0.0003383967,0.0002793672,0.0003236439,0.0002313927],"domain_scores_gemma":[0.9989193,0.0002076212,0.0003564636,0.0001340292,0.0003135215,0.00006905781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003319648,0.001164826,0.7565947,0.00006653034,0.001052368,0.00009938465,0.0006270634,0.03636074,0.183756,0.0000543868,0.01262686,0.004277591],"study_design_scores_gemma":[0.004184549,0.002799788,0.8299791,0.00009428258,0.0009681496,0.00006163963,0.00009512361,0.022541,0.138114,0.0008431642,0.0001557155,0.0001635326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879325,0.0003955524,0.0006118416,0.000110615,0.000247929,0.0005275118,0.0002024884,0.00009044056,0.009881098],"genre_scores_gemma":[0.9967648,0.00005740172,0.001589472,0.00005211263,0.000125378,0.0001564468,0.0002389988,0.00002997235,0.0009854102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07338446,"threshold_uncertainty_score":0.5480312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600026230419868,"score_gpt":0.2804802921040846,"score_spread":0.2644800297998859,"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."}}