{"id":"W2793361901","doi":"10.1111/grow.12243","title":"Generational Differences in Trip Timing and Purpose: Evidence from Canada","year":2018,"lang":"en","type":"article","venue":"Growth and Change","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Baby boomers; TRIPS architecture; Descriptive statistics; Demographic economics; General Social Survey; Population; License; Demography; Travel behavior; Demographics; Generation x; Geography; Psychology; Economics; Statistics; Sociology; Social psychology; Political science; Transport engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001120042,0.00004839203,0.00007628927,0.00001796958,0.0002100363,0.00004387509,0.00006734569,0.00003429479,0.0001170884],"category_scores_gemma":[0.00004181692,0.00004181644,0.000005825045,0.00008626018,0.0001566696,0.0002314521,0.00001139241,0.0000388307,4.544035e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001835874,"about_ca_system_score_gemma":0.0001180891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8988084,"about_ca_topic_score_gemma":0.982331,"domain_scores_codex":[0.9994561,0.00003347414,0.00007725661,0.000154264,0.0001456991,0.0001331723],"domain_scores_gemma":[0.9997796,0.0000654739,0.00002127381,0.00003547728,0.00002259231,0.00007558259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000611152,0.000004094115,0.9907891,0.000004879529,0.000001254949,0.000002122928,0.006047213,8.171517e-10,0.00005598142,0.0001030139,0.00006516515,0.002921042],"study_design_scores_gemma":[0.00008234155,0.00001284742,0.998337,0.00002631346,0.000003599116,4.010663e-8,0.0004187356,0.00002417314,0.0001466609,0.0006904625,0.0001967331,0.00006112223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964869,0.001560616,0.00001452841,0.001353842,0.0001336527,0.00008646859,0.00001598926,0.00000676138,0.0003412623],"genre_scores_gemma":[0.9988111,0.000213937,0.00005587877,0.000250962,0.0005961973,0.00001119534,0.00000428976,0.000001551763,0.00005485595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08352267,"threshold_uncertainty_score":0.1705225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084096385674581,"score_gpt":0.2894390483559528,"score_spread":0.1810294097884947,"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."}}