{"id":"W1986351906","doi":"10.1016/j.socscimed.2007.05.053","title":"Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?","year":2007,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":687,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Georgia Department of Transportation","keywords":"Walkability; Built environment; Geography; Preference; Population; Level design; Travel behavior; Atlanta; Demography; Metropolitan area; Poison control; Psychology; Environmental health; Transport engineering; Medicine; Sociology; Ecology; Engineering; Economics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002399862,0.0001553714,0.0002772055,0.00009186583,0.001620159,0.00009408285,0.0003186822,0.00009229485,0.00009285293],"category_scores_gemma":[0.0002464754,0.000114556,0.00002647226,0.0006384641,0.004399534,0.0008449736,0.00006244572,0.0001859781,0.000001229692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402404,"about_ca_system_score_gemma":0.0002487793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807809,"about_ca_topic_score_gemma":0.002792019,"domain_scores_codex":[0.9975844,0.00007583542,0.0001831625,0.0004990115,0.00113183,0.0005257442],"domain_scores_gemma":[0.9992772,0.000134418,0.0001257859,0.0001070451,0.00004117255,0.0003143359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002800725,0.0001549919,0.7453408,0.00001645199,0.000008381382,0.000007780838,0.1322186,4.915306e-8,0.004031387,0.003608022,0.00002411102,0.1145613],"study_design_scores_gemma":[0.0004163382,0.00009683637,0.97995,0.00003983626,0.00002921975,3.448476e-7,0.0150883,0.00001279218,0.0004456367,0.003414033,0.0003463248,0.0001603562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854732,0.00007109646,0.0008663159,0.001008707,0.000204168,0.0002635831,0.000002435763,0.00002956337,0.01208091],"genre_scores_gemma":[0.9987014,0.00006095688,0.00001877907,0.00007892272,0.0008617365,0.000005319082,0.000001357253,0.000005261176,0.0002662786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2346091,"threshold_uncertainty_score":0.9996796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04383509176301368,"score_gpt":0.3504143056760363,"score_spread":0.3065792139130226,"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."}}