{"id":"W2784981472","doi":"10.17269/cjph.108.6044","title":"A critical analysis of obesity prevention policies and strategies","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; University of Waterloo; Novo Nordisk","keywords":"Obesity; Narrative; Unintended consequences; Public health; Childhood obesity; Population; Stigma (botany); Population health; Political science; Psychology; Medicine; Environmental health; Overweight; Psychiatry; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.05529528,0.001436414,0.0009456582,0.01001173,0.005870635,0.01602515,0.003166948,0.006855033,0.01044694],"category_scores_gemma":[0.1353584,0.0006801815,0.001154232,0.00339128,0.01099759,0.01128199,0.00396031,0.009423702,0.0003958194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04911417,"about_ca_system_score_gemma":0.05946048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0434924,"about_ca_topic_score_gemma":0.03883654,"domain_scores_codex":[0.9692515,0.01959785,0.001014491,0.001083508,0.005503839,0.003548908],"domain_scores_gemma":[0.8107466,0.1558891,0.00557034,0.002108637,0.02227181,0.003413547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001928805,0.0001325232,0.002162787,0.001042315,0.000101575,0.0002584072,0.004005474,0.00241832,0.0001949963,0.8667827,0.06425442,0.05845354],"study_design_scores_gemma":[0.000183486,0.0002112367,0.006114694,0.007002693,0.0002687466,0.0002251388,0.03813831,0.005043173,0.001312891,0.7060472,0.2353181,0.0001343212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02250404,0.03049348,0.01193421,0.8412197,0.004012842,0.0007672222,0.0005358317,0.0001085014,0.08842416],"genre_scores_gemma":[0.86165,0.0246182,0.01541502,0.08457294,0.003466852,0.001290451,0.0002202824,0.0001275934,0.008638479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9565076,"threshold_uncertainty_score":0.3563499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2249916944582943,"score_gpt":0.5306490001564397,"score_spread":0.3056573056981454,"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."}}