{"id":"W2151150268","doi":"10.2105/ajph.2013.301279","title":"Taxing Junk Food to Counter Obesity","year":2013,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Excise; Obesity; Junk food; Environmental health; Revenue; Subsidy; Business; Yield (engineering); Public economics; Tax revenue; Intervention (counseling); Medicine; Economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154512,0.0001707764,0.0007983641,0.0002713364,0.00009712089,0.00007378784,0.000232394,0.00002926885,0.0002191028],"category_scores_gemma":[0.0003691731,0.0001351918,0.0001723056,0.0005187364,0.0001560986,0.0004484057,0.00007969001,0.0005371773,0.0001839784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004848751,"about_ca_system_score_gemma":0.0008891659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007236521,"about_ca_topic_score_gemma":0.00004711682,"domain_scores_codex":[0.9976348,0.0002685927,0.0005731558,0.0001985916,0.0006635077,0.0006613203],"domain_scores_gemma":[0.9965934,0.00014023,0.0006366873,0.0002925044,0.0006128991,0.001724285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004328515,0.009925851,0.618528,0.0001769063,0.0003817286,0.00003557338,0.002505871,0.000004369994,0.0004844372,0.001020448,0.04058344,0.3263101],"study_design_scores_gemma":[0.0006418801,0.008762125,0.9676753,0.0001071071,0.00001803547,0.0002087577,0.00117234,0.00003122525,0.00006251773,0.0002996464,0.02087119,0.0001498813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276569,0.00004808699,0.001555072,0.06946256,0.0002025741,0.0002876978,0.000004548801,0.00002723459,0.0007552868],"genre_scores_gemma":[0.9823843,0.00002476584,0.002803635,0.01395091,0.000685961,0.000005875629,0.000001548257,0.00002793266,0.0001150747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3491473,"threshold_uncertainty_score":0.5512964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03502995263588535,"score_gpt":0.312868789414667,"score_spread":0.2778388367787816,"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."}}