{"id":"W4413550097","doi":"10.1177/23998083251374724","title":"ActiveCA: Time use data from the general social survey of Canada to study active travel","year":2025,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002158873,0.00117989,0.001070754,0.008362229,0.002891461,0.002342436,0.002333401,0.000509535,0.02792558],"category_scores_gemma":[0.01314897,0.0006330168,0.001416932,0.02764204,0.0003771515,0.0009051365,0.002063325,0.001486542,0.007531564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02419146,"about_ca_system_score_gemma":0.08299427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938361,"about_ca_topic_score_gemma":0.9955463,"domain_scores_codex":[0.9965602,0.0003043184,0.0002884417,0.0003204079,0.001927887,0.0005987954],"domain_scores_gemma":[0.9855174,0.0008244976,0.001109226,0.0008494478,0.01020255,0.001496838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001439391,0.00009203891,0.0755282,0.0008482335,0.000206102,0.00006271357,0.000987641,0.001151215,0.000153883,0.004400477,0.8782216,0.03820404],"study_design_scores_gemma":[0.0001178439,0.00004543654,0.381802,0.0006797906,0.0001240514,0.00007805065,0.001815208,0.001626564,0.0003028469,0.001043148,0.612222,0.0001431294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005810865,0.0003002026,0.001512181,0.0002872668,0.00008505456,0.0006136226,0.9813653,0.0002923998,0.009733177],"genre_scores_gemma":[0.0354444,0.0009129511,0.009160997,0.000412364,0.00005602646,0.003024754,0.9387108,0.0003937699,0.01188399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02792558,"threshold_uncertainty_score":0.1755221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07940070028413168,"score_gpt":0.3132064063933066,"score_spread":0.2338057061091749,"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."}}