{"id":"W2000151665","doi":"10.1016/j.tranpol.2015.04.005","title":"Exploring differences in school travel mode choice behaviour between children and youth","year":2015,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Mode choice; Odds; Travel behavior; Multinomial logistic regression; Context (archaeology); Sustainable transport; Psychology; School choice; Demographic economics; Public transport; Geography; Sociology; Advertising; Logistic regression; Political science; Business; Transport engineering; Economics; Sustainability; Medicine; Engineering","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":[0.0004390442,0.0001914209,0.0003452185,0.000206513,0.0001705006,0.00004646507,0.0003389848,0.0001171645,0.00002965196],"category_scores_gemma":[0.00004361891,0.0001832743,0.00006623386,0.0004918327,0.0002721953,0.0008333792,0.000008865999,0.0002660804,0.000007201351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022712,"about_ca_system_score_gemma":0.0004278307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3236483,"about_ca_topic_score_gemma":0.04433466,"domain_scores_codex":[0.9982579,0.00006485688,0.0003670193,0.0003841163,0.0004089312,0.000517147],"domain_scores_gemma":[0.9991128,0.00002703455,0.00006456726,0.0001885877,0.00003953525,0.0005674648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009913973,0.00005042779,0.9655505,0.000004428425,0.000008790997,0.000001732836,0.03296654,0.000001044691,0.000002540206,0.0004777598,0.000002497908,0.0009238003],"study_design_scores_gemma":[0.0006110919,0.00002331774,0.995225,0.00002677716,0.0000450706,9.130141e-8,0.003138971,6.504059e-7,0.00003281068,0.0006550841,0.00001820081,0.0002229134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945689,0.00009486099,0.00004392384,0.0004738222,0.00005736058,0.0003035409,0.000193315,0.00008997351,0.004174341],"genre_scores_gemma":[0.9988129,0.00007909604,0.00004925172,0.00004661875,0.0006952573,0.00001952857,0.00007561066,0.00001683219,0.0002048764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2793136,"threshold_uncertainty_score":0.9731038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744853022895594,"score_gpt":0.3430217866590115,"score_spread":0.168536484369452,"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."}}