{"id":"W2914834766","doi":"10.1186/s12942-019-0168-x","title":"Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Saskatchewan","funders":"China Postdoctoral Science Foundation","keywords":"Body mass index; Neighbourhood (mathematics); Socioeconomic status; Household income; Geography; Environmental health; Multilevel model; Index (typography); Demography; Medicine; Psychology; Statistics; Population; Computer science; Sociology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003930748,0.0007756884,0.0008521984,0.002338595,0.003273043,0.001503136,0.001958306,0.0006908499,0.002463344],"category_scores_gemma":[0.006825397,0.000553822,0.002387508,0.004044382,0.001188091,0.0004044962,0.001502508,0.000751908,0.0002259991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209633,"about_ca_system_score_gemma":0.01732652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9834193,"about_ca_topic_score_gemma":0.9742109,"domain_scores_codex":[0.9983019,0.0005118858,0.00009100552,0.0003708357,0.0003348517,0.0003894667],"domain_scores_gemma":[0.9976926,0.000615202,0.0003343172,0.0002365826,0.0007681259,0.0003532458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001730569,0.00007160568,0.9904181,0.00004362494,0.0004626137,0.00008801033,0.0006607643,0.001639707,0.0001181779,0.0003739406,0.0005682209,0.005382032],"study_design_scores_gemma":[0.00002127365,0.00008662809,0.9792884,0.0000446919,0.0003280103,0.00008534599,0.002005273,0.01699535,0.00003392265,0.0002669007,0.0008132824,0.00003085448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963422,0.0003244191,0.001197537,0.0001521952,0.00000603852,0.00007307171,0.001423343,0.00001621493,0.0004648848],"genre_scores_gemma":[0.9953224,0.0002516949,0.00206415,0.00003971181,0.000005255381,0.00005567322,0.001782796,0.00001223347,0.0004661302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165807,"threshold_uncertainty_score":0.08776546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445429775878294,"score_gpt":0.322810114055249,"score_spread":0.3083558162964661,"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."}}