{"id":"W3108201702","doi":"10.1093/jas/skaa278.090","title":"73 Nutritional impact of excluding red meat from the Canadian diet","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"","keywords":"Red meat; Riboflavin; Niacin; Nutrient; Dietary Reference Intake; Food science; Reference Daily Intake; Animal science; Chemistry; Biology; Biochemistry","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":[0.0009059539,0.0002754603,0.0002974184,0.0007652121,0.00290899,0.001009642,0.0007440133,0.0003061132,0.003995803],"category_scores_gemma":[0.002263829,0.0002021508,0.0006505508,0.001734219,0.0005372677,0.0001875846,0.0006477247,0.0005036531,0.0001796148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02621982,"about_ca_system_score_gemma":0.03662113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953933,"about_ca_topic_score_gemma":0.9978713,"domain_scores_codex":[0.9987072,0.0000998528,0.00004491739,0.0001316469,0.0007126034,0.0003038598],"domain_scores_gemma":[0.998641,0.00007449632,0.0002306166,0.0000512054,0.0007763879,0.0002263498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009283914,0.0002896573,0.9282228,0.0003012313,0.000550157,0.0003370519,0.001872066,0.0005347006,0.002211743,0.0008029268,0.008664385,0.05528494],"study_design_scores_gemma":[0.00002177985,0.00006303802,0.9925403,0.00003994704,0.0001580096,0.00005959789,0.0009271271,0.0002727517,0.0002453208,0.00004378605,0.005610131,0.00001815706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795849,0.001382353,0.0001476057,0.001128263,0.00003955468,0.00006216225,0.005613645,0.00001525177,0.01202624],"genre_scores_gemma":[0.9922401,0.0007116824,0.0008771715,0.0004750463,0.000007089754,0.00001871814,0.001983416,0.000006372985,0.003680446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621982,"threshold_uncertainty_score":0.190239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07503165585231747,"score_gpt":0.332390774968771,"score_spread":0.2573591191164535,"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."}}