{"id":"W2019134337","doi":"10.1016/j.healthplace.2015.03.003","title":"Differences in associations between active transportation and built environmental exposures when expressed using different components of individual activity spaces","year":2015,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal; Douglas Mental Health University Institute","funders":"Ministère des Transports","keywords":"Metropolitan area; Destinations; Geography; Transport engineering; Built environment; Land use; Space (punctuation); Travel behavior; Active living; Physical activity; Environmental health; Ecology; Computer science; Engineering; Medicine; Tourism; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000551625,0.0001190223,0.000355328,0.00007380762,0.0002210137,0.00003394892,0.0001414544,0.0000991815,0.00001567167],"category_scores_gemma":[0.00003187982,0.0001137657,0.0000312398,0.0000869008,0.0001904401,0.0003745825,0.00001187727,0.0001538787,3.057876e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002477706,"about_ca_system_score_gemma":0.0001804384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0235678,"about_ca_topic_score_gemma":0.02443198,"domain_scores_codex":[0.9982592,0.0003797075,0.0003040382,0.0002379179,0.0005485932,0.000270518],"domain_scores_gemma":[0.9991444,0.0002381382,0.0003232465,0.00008232165,0.00001633965,0.0001955961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004392326,0.000167383,0.939344,0.00001959301,0.00001602619,4.236671e-7,0.05892412,0.000002942715,0.0002846731,0.00001377049,0.00001476011,0.001168409],"study_design_scores_gemma":[0.0005633401,0.0000567872,0.9927046,0.00003650046,0.00001993496,1.340694e-8,0.005727959,0.00001923897,0.0003895247,0.0003482433,0.00003534563,0.00009849387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997945,0.0001690021,0.00009217907,0.0005356974,0.00006981888,0.0003789804,0.0007637403,0.00001732051,0.00002827646],"genre_scores_gemma":[0.9995746,0.00003846681,0.0001622814,0.0000197307,0.00004995289,0.000007648378,0.0001250374,0.000005968291,0.00001633434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05336065,"threshold_uncertainty_score":0.9933696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257441726398332,"score_gpt":0.3426033993072004,"score_spread":0.2168592266673672,"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."}}