{"id":"W2148855362","doi":"10.1017/s1368980014002754","title":"Policy outcomes of applying different nutrient profiling systems in recreational sports settings: the case for national harmonization in Canada","year":2014,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Victoria; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Centre for Child, Family and Community Research; Health Canada; Heart and Stroke Foundation of Canada; Killam Trusts; Partenariat Canadien Contre Le Cancer","keywords":"Recreation; Profiling (computer programming); Harmonization; Audit; Medicine; Environmental health; Business; Accounting; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04879133,0.0005036074,0.0009187471,0.002641801,0.01357246,0.006921958,0.006077574,0.002554941,0.001703249],"category_scores_gemma":[0.07549471,0.0007364338,0.001065652,0.00564001,0.005595881,0.002088203,0.005909923,0.003458615,0.0001060815],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2958728,"about_ca_system_score_gemma":0.5272893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997241,"about_ca_topic_score_gemma":0.9972058,"domain_scores_codex":[0.934507,0.01625112,0.003684164,0.003990207,0.02039671,0.02117074],"domain_scores_gemma":[0.8961614,0.01481192,0.007187912,0.004072613,0.05430195,0.02346425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001185442,0.0007337077,0.7540836,0.001335894,0.0005077151,0.0008028348,0.02453029,0.006986754,0.001839544,0.02029932,0.0305724,0.1571224],"study_design_scores_gemma":[0.0001644676,0.0003696837,0.9394259,0.0009529818,0.0001666687,0.00008385992,0.0288973,0.003872907,0.0007302715,0.00162798,0.02352365,0.0001841585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512858,0.006866589,0.003431601,0.09947319,0.0004576233,0.001680083,0.002262598,0.0002002521,0.03434236],"genre_scores_gemma":[0.9857276,0.001070344,0.003965307,0.00658954,0.00002503935,0.0002819338,0.0004885693,0.00002795671,0.001823679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2958728,"threshold_uncertainty_score":0.8166877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166572005865343,"score_gpt":0.3185594132260002,"score_spread":0.2768936931673468,"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."}}