{"id":"W2980269554","doi":"","title":"Trends and correlates of frequency of fruit and vegetable consumption, 2007 to 2014.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Health Canada","funders":"","keywords":"Consumption (sociology); Overweight; Demography; Body mass index; Fruit juice; Obesity; Population; Logistic regression; Medicine; Multivariate analysis; Environmental health; Food science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000605599,0.0003879516,0.0003588666,0.003392762,0.001727434,0.001136804,0.001297006,0.0003724113,0.003080506],"category_scores_gemma":[0.002716954,0.0002946873,0.0008837509,0.008263696,0.0004462737,0.0004999816,0.0008432026,0.0007597614,0.0004452152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02492035,"about_ca_system_score_gemma":0.03927395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9957494,"about_ca_topic_score_gemma":0.996249,"domain_scores_codex":[0.9989834,0.00002481227,0.00006263197,0.0001557803,0.0005204455,0.000252908],"domain_scores_gemma":[0.9968717,0.00005403572,0.0004735581,0.00004102748,0.00222879,0.000330906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001342538,0.00003498876,0.9669725,0.0003985345,0.0002125853,0.00005821012,0.0005209519,0.0002593731,0.0001619358,0.0002124783,0.0180175,0.01301678],"study_design_scores_gemma":[0.000003763723,0.0000103602,0.995133,0.00005705799,0.00003608362,0.00003569614,0.000415116,0.0001532403,0.00004520694,0.00001236902,0.004087843,0.00001026833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6580779,0.008703419,0.0004429527,0.002309476,0.0001413966,0.0001552245,0.3175405,0.0001811554,0.01244789],"genre_scores_gemma":[0.9087422,0.004119035,0.001024664,0.0003480257,0.00004549579,0.0001059776,0.08128168,0.00003513785,0.004297681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9957494,"threshold_uncertainty_score":0.1808106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419124646768927,"score_gpt":0.2551480312332087,"score_spread":0.2309567847655195,"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."}}