{"id":"W2020681400","doi":"10.1016/j.jclinepi.2003.07.012","title":"Modeling recurrence in colorectal cancer","year":2004,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Ligue Contre le Cancer; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Colorectal cancer; Medicine; Cancer; Oncology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002572229,0.0008750515,0.001631773,0.001269404,0.0007768628,0.001754057,0.002356799,0.002312603,0.003825948],"category_scores_gemma":[0.01754825,0.001121154,0.002165413,0.001218121,0.000678378,0.001583757,0.0009398378,0.001813188,0.0005627016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855506,"about_ca_system_score_gemma":0.001720433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1070789,"about_ca_topic_score_gemma":0.06677851,"domain_scores_codex":[0.9988679,0.0005690799,0.00004847985,0.000229931,0.00007319674,0.0002115099],"domain_scores_gemma":[0.9879276,0.009671262,0.001018828,0.0004301291,0.0005332481,0.0004188667],"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":[0.000187542,0.0001608334,0.03525408,0.00006568118,0.0002886237,0.0001885571,0.000166705,0.9425765,0.0001850406,0.0095169,0.002153109,0.009256512],"study_design_scores_gemma":[0.00002628063,0.00004405994,0.001997508,0.000008191022,0.00007561993,0.00004589678,0.00003312063,0.9933287,0.00006225719,0.003952319,0.000414297,0.0000116919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029109,0.002565616,0.08014399,0.005731273,0.0003003349,0.0000844122,0.00256973,0.0008149651,0.004878771],"genre_scores_gemma":[0.9857882,0.000462456,0.005755592,0.0001821315,0.0001318385,0.00007580988,0.000887455,0.00007153999,0.006644963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070789,"threshold_uncertainty_score":0.2129112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.274603924201915,"score_gpt":0.5153615333101835,"score_spread":0.2407576091082685,"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."}}