{"id":"W2943088298","doi":"10.3390/nu11051009","title":"Consumption of Ready-to-Eat Cereal in Canada and Its Contribution to Nutrient Intake and Nutrient Density among Canadians","year":2019,"lang":"en","type":"article","venue":"Nutrients","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"General Mills","keywords":"Nutrient; Consumption (sociology); Nutrient density; Overweight; Obesity; Environmental health; Medicine; Food science; Biology; Internal medicine; Ecology","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":[0.0006706358,0.0004756834,0.0005182884,0.002131071,0.003567944,0.001325876,0.001196816,0.0004192664,0.00226563],"category_scores_gemma":[0.001520038,0.0004613125,0.001073533,0.0075263,0.0006656646,0.0003798512,0.0008143042,0.0006749958,0.0002526628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0336868,"about_ca_system_score_gemma":0.04007575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988744,"about_ca_topic_score_gemma":0.9990842,"domain_scores_codex":[0.9990261,0.0000453247,0.00006194579,0.000156593,0.0004345426,0.000275578],"domain_scores_gemma":[0.9984419,0.00006021658,0.0002252408,0.0000410329,0.0009319303,0.0002997798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001095563,0.00003467379,0.986554,0.0001198957,0.0001418651,0.00008891342,0.001179654,0.0001195284,0.0002405083,0.0001998941,0.002476521,0.008734954],"study_design_scores_gemma":[0.000006821426,0.00001480163,0.9961519,0.0000693576,0.00005172785,0.00005031448,0.001164609,0.0002258319,0.00006000867,0.00002657168,0.002163972,0.00001412334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703414,0.003504926,0.0002742697,0.000902249,0.0000386031,0.00007291442,0.01917093,0.00003429805,0.005660393],"genre_scores_gemma":[0.9902391,0.002036031,0.0005135357,0.0002503192,0.000009535735,0.00002664526,0.005112884,0.00001279761,0.001799181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0336868,"threshold_uncertainty_score":0.244416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069346969186593,"score_gpt":0.2315386558612383,"score_spread":0.2208451861693723,"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."}}