{"id":"W3045533295","doi":"10.1371/journal.pmed.1003221","title":"Predicting obesity reduction after implementing warning labels in Mexico: A modeling study","year":2020,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Bloomberg Philanthropies; Bloomberg Family Foundation","keywords":"Obesity; Medicine; Reduction (mathematics); Environmental health; Internal medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007265889,0.0002280738,0.0005639281,0.0001687124,0.0001187878,0.0000154026,0.00009572704,0.00006287039,0.0002866255],"category_scores_gemma":[0.0005950388,0.0001950561,0.0000537497,0.0005107954,0.00003342942,0.0001380072,0.0001489755,0.0005719682,0.00001299077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008977469,"about_ca_system_score_gemma":0.00005621762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003104556,"about_ca_topic_score_gemma":0.00009251742,"domain_scores_codex":[0.9976409,0.0000811688,0.000742705,0.0005222015,0.0005434357,0.0004695962],"domain_scores_gemma":[0.9992096,0.00005314122,0.0001195615,0.0002322122,0.000127676,0.0002578096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000331343,0.0004583987,0.9588325,0.0003190169,0.0003387214,0.0001771126,0.02215182,0.0002755125,0.01468312,0.000005480836,0.00001974261,0.002407232],"study_design_scores_gemma":[0.01499094,0.003262503,0.08824566,0.003756832,0.002946372,0.0001020903,0.03084766,0.8537472,0.001176705,0.00005153701,0.0002179401,0.0006545581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913366,0.00185411,0.0004719388,0.00463949,0.0001159066,0.0009478341,0.000001817138,0.0001762115,0.0004560997],"genre_scores_gemma":[0.9980501,0.00003970202,0.0005057639,0.0005742798,0.0006807665,0.0000714359,0.00001403997,0.00004102098,0.0000228711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8705868,"threshold_uncertainty_score":0.7954158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06193862948406535,"score_gpt":0.3120497118053265,"score_spread":0.2501110823212612,"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."}}