{"id":"W3124830976","doi":"10.1016/j.clnu.2021.01.016","title":"Fruit, vegetable, and legume intake and the risk of all-cause, cardiovascular, and cancer mortality: A prospective study","year":2021,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Interquartile range; Cancer; Legume; Incidence (geometry); Environmental health; Cause of death; Prospective cohort study; Proportional hazards model; Disease; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007906533,0.000109175,0.0006342116,0.00001871298,0.000107679,0.00001851135,0.00002228946,0.00007661302,0.000008991667],"category_scores_gemma":[0.0004702143,0.00007383645,0.0001705674,0.0001136959,0.000454925,0.00004759512,0.000104829,0.00023919,4.439029e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001557111,"about_ca_system_score_gemma":0.000025924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003030061,"about_ca_topic_score_gemma":0.0002499963,"domain_scores_codex":[0.9986845,0.0002332493,0.0003897849,0.0003470998,0.0002303402,0.0001150745],"domain_scores_gemma":[0.998945,0.0004416193,0.00008557657,0.0002069664,0.0002320063,0.00008883832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008597221,0.00156451,0.9880762,0.0003139506,0.005289156,0.00005646518,0.0001720239,3.12919e-7,0.00002000893,0.0006051378,0.0006657033,0.002376848],"study_design_scores_gemma":[0.01833968,0.000497286,0.9656823,0.0001982989,0.003501769,0.00003578501,0.001277425,0.00002463464,0.00004853957,0.006308481,0.003999226,0.000086623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264489,0.07054915,0.00001301831,0.001615787,0.00009137856,0.0009979568,0.00005820038,0.00001149605,0.0002141663],"genre_scores_gemma":[0.901973,0.09711729,0.0001650339,0.0002454559,0.0002769583,0.0001744383,0.00001043504,0.000008432986,0.00002892625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02656815,"threshold_uncertainty_score":0.3010963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06830538785761522,"score_gpt":0.3740871159196784,"score_spread":0.3057817280620632,"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."}}