{"id":"W2911185903","doi":"10.1111/obr.12814","title":"The <scp>INFORMAS</scp> healthy food environment policy index (<scp>Food‐EPI</scp>) in <scp>M</scp>exico: <scp>A</scp>n assessment of implementation gaps and priority recommendations","year":2019,"lang":"en","type":"article","venue":"Obesity Reviews","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Food science; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.009114648,0.0005234438,0.0005558541,0.004315094,0.0006858576,0.002820655,0.0007191755,0.0007984541,0.01324358],"category_scores_gemma":[0.02360696,0.0002836093,0.0006513325,0.006033625,0.0004073999,0.001703729,0.00208714,0.001230043,0.002048932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004100087,"about_ca_system_score_gemma":0.009167469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03513915,"about_ca_topic_score_gemma":0.04437166,"domain_scores_codex":[0.9963082,0.001287565,0.0006353714,0.000201005,0.001236065,0.0003318592],"domain_scores_gemma":[0.9829171,0.00512824,0.00310567,0.0007140219,0.00647469,0.001660204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000831589,0.0006365831,0.2751256,0.004372622,0.0002756113,0.0002365536,0.00357015,0.001424343,0.0007756446,0.007718761,0.4361311,0.2689013],"study_design_scores_gemma":[0.0001483675,0.0002358588,0.6242971,0.00285035,0.000218422,0.0001055228,0.006533003,0.001786842,0.001690511,0.001993741,0.3600564,0.00008386489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3270021,0.005851957,0.01454011,0.04650806,0.002039794,0.007511824,0.3575228,0.001813648,0.2372096],"genre_scores_gemma":[0.545149,0.0102702,0.1004988,0.004819573,0.0006544648,0.01794657,0.2756624,0.0006110428,0.04438807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03513915,"threshold_uncertainty_score":0.06986922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04002732645445847,"score_gpt":0.341476587007365,"score_spread":0.3014492605529066,"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."}}