{"id":"W2801302025","doi":"10.1503/cmaj.180037","title":"Resisting influence from agri-food industries on Canada’s new food guide","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; University of Toronto; St. Michael's Hospital","funders":"Government of Canada","keywords":"Underpinning; Food policy; Key (lock); Political science; Focus group; Public policy; Public health; Focus (optics); Food industry; Marketing; Business; Public relations; Food security; Agriculture; Medicine; Engineering; Geography; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.024953,0.0006335969,0.0007817899,0.003026882,0.01894759,0.01738277,0.003944616,0.01088129,0.01243234],"category_scores_gemma":[0.04991714,0.0008675386,0.0006676812,0.003608033,0.01187818,0.003613995,0.006390285,0.01564522,0.001840036],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1893233,"about_ca_system_score_gemma":0.5471494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9838232,"about_ca_topic_score_gemma":0.995193,"domain_scores_codex":[0.9401293,0.005488418,0.00141759,0.00242628,0.04202372,0.008514721],"domain_scores_gemma":[0.9052492,0.01399027,0.001948377,0.001805629,0.05396437,0.02304211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004537961,0.00005041618,0.00145075,0.0002050604,0.00001551395,0.0002871977,0.0045566,0.0002230125,0.0003427197,0.04478403,0.9146395,0.03339968],"study_design_scores_gemma":[0.00001371779,0.00001647973,0.00273847,0.0003388107,0.000009614982,0.0000564996,0.002138564,0.00008063488,0.0001338007,0.001724414,0.9926996,0.00004937542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005620526,0.007415819,0.0008658759,0.9052491,0.005117582,0.0001509219,0.0007180071,0.000159729,0.07470249],"genre_scores_gemma":[0.1477664,0.01353056,0.01125967,0.6298641,0.002106146,0.0002565015,0.0009836882,0.0003687885,0.1938641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1893233,"threshold_uncertainty_score":0.94027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005805288885110401,"score_gpt":0.1939325359731802,"score_spread":0.1881272470880699,"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."}}