{"id":"W328773195","doi":"","title":"Using Food and Beverage Price Interventions to Address Obesity","year":2009,"lang":"en","type":"article","venue":"Health law review","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Public economics; Psychological intervention; Obesity; Public health; Food prices; Business; Economics; Agriculture; Medicine; Food security; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004294697,0.0001384897,0.0006334983,0.00002890043,0.0001487557,0.00001343833,0.0000657863,0.00003372143,0.00005130823],"category_scores_gemma":[0.00008019839,0.0001210366,0.0001448166,0.0002504975,0.00002619472,0.0001023362,0.00006568697,0.0002047977,0.00003738751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270745,"about_ca_system_score_gemma":0.00006638109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496663,"about_ca_topic_score_gemma":0.00008229103,"domain_scores_codex":[0.9987319,0.0001418519,0.0003616557,0.000274772,0.0001938995,0.0002959241],"domain_scores_gemma":[0.9990153,0.0000394538,0.0001226234,0.0003114679,0.00007171697,0.0004393778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.00008628568,0.03898181,0.02115526,0.4663897,0.000234057,0.0000962955,0.0004376445,0.000003835893,0.0002861582,0.3394944,0.01916577,0.1136688],"study_design_scores_gemma":[0.001395037,0.005305399,0.722878,0.1033989,0.0004118133,0.0001998169,0.000009146419,0.00003342312,0.0001948768,0.002978177,0.162604,0.0005913678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.651536,0.2904823,0.0008713364,0.0418714,0.0002555119,0.006704193,0.00006115724,0.0002601765,0.007957864],"genre_scores_gemma":[0.9559165,0.01045829,0.001606164,0.03181644,0.0001130668,0.00001370759,0.000008965762,0.00001271574,0.00005420965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7017227,"threshold_uncertainty_score":0.4935727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126212232019015,"score_gpt":0.4179073178515273,"score_spread":0.3052860946496258,"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."}}