{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007378859,0.001144463,0.0008440547,0.002257832,0.0004170567,0.002736535,0.0009767323,0.002061509,0.006397443],"category_scores_gemma":[0.05616367,0.0004955631,0.002003836,0.001049477,0.0004960963,0.002046627,0.0008686098,0.003701956,0.00216161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008278212,"about_ca_system_score_gemma":0.0009627417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004532208,"about_ca_topic_score_gemma":0.005840609,"domain_scores_codex":[0.9971665,0.001611424,0.0002003598,0.000359916,0.0005453252,0.0001163941],"domain_scores_gemma":[0.9604727,0.03395268,0.001640024,0.0007038997,0.00278024,0.0004504987],"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":[0.0008127444,0.000258191,0.08412416,0.0008454614,0.001672314,0.001069615,0.0003969919,0.05468763,0.0004790598,0.02121136,0.4170289,0.4174135],"study_design_scores_gemma":[0.0005924602,0.0004476054,0.02548824,0.001992071,0.001886798,0.001906559,0.0003611131,0.6393734,0.001187468,0.1472973,0.1790904,0.0003766614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0719204,0.05167248,0.4729216,0.3202161,0.03093804,0.0003616121,0.006741214,0.008616805,0.03661167],"genre_scores_gemma":[0.6790666,0.04488647,0.1792901,0.039223,0.03301595,0.0005116237,0.00678549,0.0009596023,0.01626115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007378859,"threshold_uncertainty_score":0.03902364,"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."}}