{"id":"W2103421704","doi":"10.1007/s12307-010-0060-5","title":"Colorectal Cancer Prevention Through Dietary and Lifestyle Modifications","year":2011,"lang":"en","type":"article","venue":"Cancer Microenvironment","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Red meat; Colorectal cancer; Medicine; Incidence (geometry); Cancer; Environmental health; Obesity; Food science; Physiology; Internal medicine; Biology; Pathology","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":[0.0002287541,0.0002513329,0.0002358067,0.0003511621,0.0002317644,0.0003381224,0.0001235868,0.0003044371,0.002116963],"category_scores_gemma":[0.0004247184,0.0001111583,0.0002122809,0.0003145819,0.0001620438,0.0002681697,0.0002690307,0.0004368319,0.0001549456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386783,"about_ca_system_score_gemma":0.0002088256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164251,"about_ca_topic_score_gemma":0.002985417,"domain_scores_codex":[0.9998839,0.00005708717,0.000006580322,0.00001590868,0.00001806908,0.00001846543],"domain_scores_gemma":[0.9998915,0.00002552894,0.00003260516,0.000009839779,0.00001448509,0.00002583916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03158192,0.01157856,0.1421812,0.003476268,0.001844001,0.0006436289,0.0009227273,0.0006756955,0.2601776,0.002470934,0.005474573,0.5389729],"study_design_scores_gemma":[0.002021808,0.02054344,0.8687207,0.000612566,0.002514965,0.0005667072,0.001144089,0.0004826297,0.04860257,0.002526526,0.05221097,0.00005297736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.962841,0.02464669,0.0009227854,0.003486647,0.0002945228,0.00006545085,0.0002811981,0.00004491384,0.007416759],"genre_scores_gemma":[0.9773213,0.01588643,0.001751417,0.0009213479,0.0002240155,0.00004932337,0.000153893,0.00001289919,0.003679241],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002116963,"threshold_uncertainty_score":0.007081926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812773034452691,"score_gpt":0.2892643749535699,"score_spread":0.241136644609043,"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."}}