{"id":"W2983730448","doi":"10.1016/j.pmedr.2019.100998","title":"Does the neighborhood food environment contribute to ethnic inequalities in fast-food intake? findings from the ORiEL study","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Institute for Health and Care Research","keywords":"Ethnic group; Inequality; Environmental health; Demography; Medicine; Sociology; Mathematics; Anthropology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00207351,0.000193333,0.000333919,0.0004968186,0.0005289324,0.001026958,0.0006669209,0.0005108977,0.001787522],"category_scores_gemma":[0.005906548,0.0002331225,0.0006387846,0.0008607674,0.0004492994,0.0006467782,0.001129037,0.0007249239,0.0002221286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993362,"about_ca_system_score_gemma":0.0004790264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0448471,"about_ca_topic_score_gemma":0.06927255,"domain_scores_codex":[0.9990991,0.0004479289,0.00006479472,0.0001202821,0.0001028151,0.0001650848],"domain_scores_gemma":[0.9971763,0.0009889099,0.00100828,0.000249267,0.0002424017,0.0003348468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003067468,0.0001077104,0.9942179,0.00004270591,0.0001582844,0.000119414,0.001606737,0.00002800728,0.00009324174,0.0001198919,0.0002033912,0.002996038],"study_design_scores_gemma":[0.00001173784,0.00006182244,0.9977329,0.00004197982,0.00009605776,0.00004013337,0.001499694,0.00005937609,0.00002897153,0.00004061078,0.0003817691,0.000004911344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982839,0.0004447516,0.00005105542,0.0002475859,0.000005987817,0.000005813269,0.0001723692,8.691612e-7,0.0007876586],"genre_scores_gemma":[0.9991304,0.0002558613,0.00006892654,0.00006743872,0.00001300045,0.00001452222,0.0001400073,0.000002645141,0.0003071884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0448471,"threshold_uncertainty_score":0.08917212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947251562709095,"score_gpt":0.2861942117981367,"score_spread":0.2567216961710457,"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."}}