{"id":"W2068694466","doi":"10.1007/s12061-015-9151-5","title":"A Spatial Econometric Analysis of Adult Obesity: Evidence from Canada","year":2015,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; University of Alberta","keywords":"Obesity; Body mass index; Random effects model; Covariate; Econometrics; Geography; Fixed effects model; Regression analysis; Demography; Panel data; Statistics; Medicine; Economics; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970502,0.0001538337,0.0007310578,0.0009526475,0.0001894686,0.00006742912,0.0003093886,0.00009567567,0.0003582139],"category_scores_gemma":[0.000210937,0.0001413451,0.000240006,0.006856324,0.0001935627,0.0001227881,0.00004496881,0.00008988348,0.000002624948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936423,"about_ca_system_score_gemma":0.001173119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992707,"about_ca_topic_score_gemma":0.9992178,"domain_scores_codex":[0.9982027,0.00008694283,0.0004664469,0.0004133334,0.000540355,0.0002902551],"domain_scores_gemma":[0.998582,0.0002314752,0.0002862928,0.0003210306,0.0002048959,0.0003743194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003009012,0.00004098044,0.9857618,0.000004011944,0.002067444,0.000001214469,0.002515768,0.0002290936,0.00001647538,0.0006899927,0.00005674355,0.008586347],"study_design_scores_gemma":[0.0001700311,0.00001217078,0.9902873,0.000003284603,0.005752192,5.118433e-9,0.0005993272,0.001836355,0.0001791329,0.0006264592,0.0003531393,0.0001805835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924951,0.0001555507,0.002918847,0.0006179945,0.00004034056,0.0001152157,0.0001761141,0.00001533692,0.003465483],"genre_scores_gemma":[0.9990594,0.00007991485,0.00009731032,0.0002215285,0.0003297176,0.000008830767,0.0001013069,0.000004997038,0.00009699257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008405764,"threshold_uncertainty_score":0.5763887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399433977779056,"score_gpt":0.2840842046130112,"score_spread":0.2600898648352206,"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."}}