{"id":"W2924995287","doi":"10.1111/josh.12743","title":"Getting at Mode Share: Comparing 3 Methods of Travel Mode Measurement for School Travel Research","year":2019,"lang":"en","type":"article","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; British Columbia Centre of Excellence for Women's Health; Simon Fraser University; Vancouver Coastal Health","funders":"Michael Smith Health Research BC","keywords":"Observational study; Mode (computer interface); Data collection; Metric (unit); Observational methods in psychology; Mode choice; Psychology; Travel behavior; Medical education; Transport engineering; Medicine; Computer science; Statistics; Engineering; Mathematics; Operations management; Public transport","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":[0.02597258,0.000144156,0.0007350537,0.0002718467,0.0006524622,0.00007276511,0.0006575593,0.0001270301,0.0002519811],"category_scores_gemma":[0.001044828,0.0001252499,0.0002740712,0.0003973379,0.0001275855,0.0005524668,0.00003921561,0.0008549548,0.00001007447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781509,"about_ca_system_score_gemma":0.003640106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004089494,"about_ca_topic_score_gemma":0.002307901,"domain_scores_codex":[0.994697,0.0009319219,0.001352355,0.0002841392,0.001974533,0.0007600365],"domain_scores_gemma":[0.9961831,0.0003496821,0.0008886819,0.0002611779,0.001537903,0.0007794867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001861961,0.0006785145,0.8915339,0.002278034,0.0002609552,0.000004603332,0.01939772,0.00103053,0.05149058,0.002979058,0.009778721,0.01870538],"study_design_scores_gemma":[0.004850887,0.001088844,0.9412757,0.00172712,0.00007560291,0.000004766654,0.01709731,0.005565676,0.01078658,0.01384378,0.003169972,0.0005138307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616764,0.002082399,0.02577628,0.004217181,0.0005820054,0.001311125,0.00002784362,0.00001433912,0.00431243],"genre_scores_gemma":[0.9686311,0.0001423468,0.03020869,0.0001525318,0.0004751814,0.00000875055,0.000002061617,0.00001939533,0.0003599509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0497417,"threshold_uncertainty_score":0.900163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3462723699115801,"score_gpt":0.5271076026993715,"score_spread":0.1808352327877914,"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."}}