{"id":"W2021620901","doi":"10.1503/cmaj.071183","title":"Survivre au cancer colorectal","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Cancer; Medicine; Gynecology; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001274885,0.0001302628,0.000234983,0.0004709754,0.001314648,0.0005309327,0.0001987633,0.0002963018,0.007743598],"category_scores_gemma":[0.0006877561,0.0000896383,0.0002148122,0.001022173,0.000462021,0.0002207021,0.0004344203,0.0005754653,0.0007221634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042369,"about_ca_system_score_gemma":0.005026482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5779402,"about_ca_topic_score_gemma":0.7384833,"domain_scores_codex":[0.9996732,0.00001862018,0.000007309367,0.00003358303,0.0001027218,0.0001645319],"domain_scores_gemma":[0.9996612,0.0000220537,0.00005407918,0.00001196731,0.00008962015,0.0001610367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001711117,0.0001297769,0.8140338,0.0001830676,0.00006725985,0.003859656,0.001422332,0.000105391,0.001964323,0.001233904,0.04109419,0.1357352],"study_design_scores_gemma":[0.00003878322,0.0005221214,0.8697495,0.00039356,0.0001202329,0.0178543,0.005185765,0.000205347,0.0008913132,0.0006776978,0.1043186,0.00004284665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240123,0.01131312,0.0007317806,0.008866596,0.0005651129,0.0001758494,0.00670689,0.0001314095,0.0474969],"genre_scores_gemma":[0.9610801,0.008384883,0.0006061089,0.004644865,0.0002492678,0.00002423726,0.003169523,0.00001387426,0.02182709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5779402,"threshold_uncertainty_score":0.8490908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009873893833963795,"score_gpt":0.2717530009173803,"score_spread":0.2618791070834165,"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."}}