{"id":"W6976809703","doi":"10.60692/zhw0n-zrb74","title":"Predicting obesity reduction after implementing warning labels in Mexico: A modeling study","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obesity; Overweight; Reduction (mathematics); Christian ministry; Caloric theory; Caloric intake; Weight loss","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00237004,0.001394572,0.000941033,0.000946194,0.0006480702,0.001511915,0.001657543,0.001784442,0.003855175],"category_scores_gemma":[0.004238368,0.0006271468,0.002103788,0.0008840439,0.0004036116,0.0008721972,0.0008963818,0.001676025,0.0003095955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002935029,"about_ca_system_score_gemma":0.001920675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1410585,"about_ca_topic_score_gemma":0.07185141,"domain_scores_codex":[0.9994398,0.0002190376,0.00002001752,0.0001386894,0.00002638264,0.000156133],"domain_scores_gemma":[0.9960955,0.002888584,0.0004966878,0.00009699134,0.0002842733,0.0001379873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001156861,0.002086916,0.2028065,0.000215032,0.0005970142,0.0005703857,0.0002162777,0.7745319,0.0006273459,0.002712714,0.004011789,0.01046738],"study_design_scores_gemma":[0.0002367462,0.0003669063,0.02605303,0.00003809883,0.0002741811,0.00003182666,0.000183847,0.9709535,0.0001970878,0.0007066939,0.0009259433,0.00003212906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993695,0.0003583428,0.002377118,0.0006861982,0.00003227901,0.00006402512,0.001503772,0.00006647244,0.00121688],"genre_scores_gemma":[0.9916856,0.0004312356,0.003487784,0.0001549324,0.00003967095,0.000139087,0.002373965,0.00001537654,0.001672343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410585,"threshold_uncertainty_score":0.2804748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05214356543325457,"score_gpt":0.2590771169318481,"score_spread":0.2069335514985935,"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."}}