{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006762883,0.00009448632,0.0005878704,0.0008918677,0.002780836,0.0001550864,0.0003182654,0.0001551592,0.000624523],"category_scores_gemma":[0.004034488,0.00008577784,0.000104694,0.0002500956,0.0003535453,0.00147772,0.0000326131,0.000699038,0.000009783092],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003083748,"about_ca_system_score_gemma":0.02240014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1203653,"about_ca_topic_score_gemma":0.7556322,"domain_scores_codex":[0.9968653,0.001155328,0.0009145208,0.0001178427,0.0002181143,0.0007288647],"domain_scores_gemma":[0.994674,0.0006519225,0.001585047,0.0003207585,0.0007693556,0.00199887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009110239,0.00005981832,0.8896959,0.0008615362,0.0002725628,0.00001322803,0.01065318,0.000002061718,0.000002153105,0.08864401,0.004318116,0.005468305],"study_design_scores_gemma":[0.0002583349,0.0002235476,0.9503382,0.0002115809,0.000131341,0.000006515753,0.01357617,0.00004398796,2.597099e-7,0.002329268,0.03281952,0.00006127565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90392,0.00151009,0.001086834,0.08668317,0.0005044278,0.0001948622,0.00006067788,0.000005273731,0.006034657],"genre_scores_gemma":[0.9970244,0.0006303809,0.0005227271,0.001239429,0.0002203048,0.000002326711,0.000003108217,0.000007094363,0.0003502927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6352668,"threshold_uncertainty_score":0.9985174,"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."}}