{"id":"W2561230713","doi":"10.1158/1055-9965.epi-16-0145","title":"Association of Weight Change after Colorectal Cancer Diagnosis and Outcomes in the Kaiser Permanente Northern California Population","year":2016,"lang":"en","type":"editorial","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Colorectal cancer; Cancer; Body mass index; Weight loss; Weight change; Internal medicine; Weight gain; Population; Confidence interval; Mortality rate; Oncology; Obesity; Body weight; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001863465,0.0003724615,0.001155189,0.0002328667,0.00006178918,0.000007283149,0.0001332862,0.00113168,0.0003088649],"category_scores_gemma":[0.001001185,0.0002334588,0.0003449812,0.0001588572,0.0001223226,0.0001226582,0.00005514626,0.0004636992,0.000006120845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316415,"about_ca_system_score_gemma":0.0001751105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01554113,"about_ca_topic_score_gemma":0.05812301,"domain_scores_codex":[0.9968739,0.0008203179,0.0009176594,0.0005700718,0.0003836602,0.0004344292],"domain_scores_gemma":[0.9965105,0.001803213,0.00115148,0.0002526678,0.0001974538,0.00008466829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005803601,0.00006490897,0.7575927,0.0001951517,0.0005687638,0.000002719056,0.0001685747,1.846078e-7,0.000007840952,0.000001096505,0.2292886,0.01152908],"study_design_scores_gemma":[0.001357432,0.0001239264,0.8136512,0.0009694187,0.0007349477,6.292631e-7,0.00001454856,0.000009924565,0.000007610504,0.0001709334,0.1827623,0.0001971416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6899567,0.02714748,0.00001383284,0.01241334,0.2650742,0.002269295,0.003067434,0.00003629295,0.00002141978],"genre_scores_gemma":[0.6073048,0.08277926,0.00005723377,0.0008542114,0.2886747,0.01585783,0.003069937,0.000142301,0.001259721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08265192,"threshold_uncertainty_score":0.9910145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720099431086917,"score_gpt":0.3628729056208732,"score_spread":0.3356719113100041,"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."}}