{"id":"W2919280586","doi":"10.1289/isesisee.2018.p02.0020","title":"Does Climate Matter? How Temperature and Precipitation Affect the Relationship between Neighbourhood Walkability and Walking for Transportation","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; Public Health Ontario","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Demographics; Geography; Demography; Environmental health; Confidence interval; Built environment; Gerontology; Medicine; Physical activity; Ecology; Physical therapy; 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":[0.0006181835,0.0001837057,0.0004110278,0.0003626271,0.0008835698,0.001173933,0.000508839,0.0003929294,0.002289283],"category_scores_gemma":[0.003459039,0.0001619602,0.0009687154,0.001246874,0.0005891218,0.000549159,0.0005838093,0.0006679692,0.0001910883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011164,"about_ca_system_score_gemma":0.002703158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6539809,"about_ca_topic_score_gemma":0.7575347,"domain_scores_codex":[0.999404,0.0001577776,0.00003363616,0.0001181466,0.00009088374,0.0001956155],"domain_scores_gemma":[0.9987811,0.0002983533,0.0002691272,0.00007617494,0.0002471764,0.0003280875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008492474,0.00002009599,0.9948748,0.00004002062,0.0002898898,0.00004822401,0.0003439652,0.0003535714,0.0001190707,0.0002141876,0.0005683071,0.003042979],"study_design_scores_gemma":[0.000002361568,0.00001134042,0.9986293,0.00001702338,0.00006903074,0.00001562654,0.0003401326,0.0003930632,0.00001974816,0.00008923049,0.0004077454,0.000005374194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904604,0.001666894,0.0006386752,0.001174723,0.00007613628,0.00001956349,0.001828271,0.00001344983,0.004121863],"genre_scores_gemma":[0.9988363,0.0002717613,0.0001153505,0.00007697905,0.00001714998,0.000004862522,0.0003356708,0.000005747981,0.0003361807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6539809,"threshold_uncertainty_score":0.6961137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070808205473002,"score_gpt":0.3193021149677825,"score_spread":0.2785940329130525,"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."}}