{"id":"W2810017895","doi":"10.1002/cam4.1639","title":"Renal cell carcinoma risk associated with lower intake of micronutrients","year":2018,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta","funders":"National Cancer Institute; National Human Genome Research Institute; National Institutes of Health","keywords":"Micronutrient; Medicine; Renal cell carcinoma; Physiology; Vitamin E; Population; Quartile; Kidney cancer; Vitamin; Odds ratio; Lower risk; Vitamin C; Internal medicine; Environmental health; Biology; Antioxidant; Pathology; Confidence interval; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003961907,0.0002016707,0.0002946733,0.0005333053,0.0003222573,0.0003802434,0.0001813124,0.0002983749,0.001831388],"category_scores_gemma":[0.001893814,0.0002221868,0.000421832,0.0006951189,0.0001511803,0.0001931434,0.0002694306,0.0004560815,0.000131337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579363,"about_ca_system_score_gemma":0.0001717547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007384788,"about_ca_topic_score_gemma":0.007733914,"domain_scores_codex":[0.9997445,0.00008048493,0.0000218886,0.00006261099,0.00004595095,0.00004448056],"domain_scores_gemma":[0.9991125,0.0001776989,0.0003775351,0.0001064351,0.0000943346,0.0001313957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002109883,0.00002782849,0.9969932,0.00000968152,0.00009296569,0.00004313981,0.00001818723,0.00002235967,0.0006397794,0.00001419476,0.00004585872,0.001881889],"study_design_scores_gemma":[0.000004419263,0.00003872067,0.9993899,0.00000298837,0.00006614855,0.000139482,0.00002099851,0.000090767,0.0001266253,0.00002288214,0.00009550195,0.000001571063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986904,0.0006451212,0.0001298197,0.00004290302,0.000006224444,0.000004289706,0.0001106362,0.00000701806,0.000363574],"genre_scores_gemma":[0.9993421,0.0001762271,0.0001645739,0.00001811836,0.00001071812,0.000003141912,0.0001027033,0.000001920729,0.0001803207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007384788,"threshold_uncertainty_score":0.0146836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571602614440832,"score_gpt":0.2650772706994499,"score_spread":0.2493612445550416,"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."}}