{"id":"W2085223376","doi":"10.1016/j.socscimed.2009.07.019","title":"Disentangling the relative influence of built and socioeconomic environments on walking: The contribution of areas homogenous along exposures of interest","year":2009,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Census; Socioeconomic status; Geography; Geocoding; Recreation; Population; Demography; Cartography; Socioeconomics; Ecology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002684692,0.0006170233,0.0008282437,0.000991614,0.0008992,0.001971585,0.001020124,0.001120844,0.002316265],"category_scores_gemma":[0.01129883,0.0004598373,0.001901223,0.001649266,0.001085911,0.001259626,0.00202455,0.000815732,0.0002161785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043866,"about_ca_system_score_gemma":0.0007170707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01783128,"about_ca_topic_score_gemma":0.03236846,"domain_scores_codex":[0.9962854,0.002077308,0.0002411826,0.0005875558,0.0003361278,0.0004723665],"domain_scores_gemma":[0.9912179,0.005304567,0.0009430817,0.001341737,0.0004681471,0.0007245209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007349894,0.00007433132,0.9875431,0.00004052659,0.001369237,0.0001426366,0.0008081298,0.0002813326,0.001179026,0.0003639717,0.0000762548,0.00738644],"study_design_scores_gemma":[0.000006540444,0.0001638728,0.9964561,0.00001439189,0.0005335269,0.0001039229,0.0009415101,0.0009451766,0.0002148889,0.0003571554,0.0002532932,0.000009560636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972452,0.0004341699,0.0009714984,0.00009602162,0.00001454518,0.00001010779,0.0001363873,0.000004768687,0.001087444],"genre_scores_gemma":[0.9993625,0.00007913844,0.0002801314,0.00001369712,0.000009891442,0.000003639597,0.00006223127,0.000006190077,0.0001824653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01783128,"threshold_uncertainty_score":0.03545493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476842453177968,"score_gpt":0.3091154187327096,"score_spread":0.28434699420093,"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."}}