{"id":"W2148386210","doi":"10.1007/s11116-013-9454-9","title":"Transit to eternal youth: lifecycle and generational trends in Greater Montreal public transport mode share","year":2013,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Public transport; TRIPS architecture; Suburbanization; Mode choice; Pace; Demographic economics; Workforce; Geography; Economic growth; Business; Demography; Economics; Transport engineering; Sociology; Population; Engineering","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":[0.0003248881,0.0002029368,0.0001261194,0.001550526,0.0007664154,0.00106094,0.000884426,0.0003217272,0.006449642],"category_scores_gemma":[0.0009435447,0.0002101214,0.0004246586,0.002135333,0.0002825282,0.0007885014,0.0008667896,0.0004481432,0.0004145828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005279811,"about_ca_system_score_gemma":0.003221816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8939942,"about_ca_topic_score_gemma":0.9507127,"domain_scores_codex":[0.9997744,0.00002193634,0.00001118488,0.00004374768,0.0000407254,0.0001079784],"domain_scores_gemma":[0.9993265,0.00003336443,0.0002117976,0.00002563209,0.0002219031,0.0001808121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004186718,0.00003039939,0.9925746,0.000009949033,0.00002066099,0.00005236339,0.002084478,0.00007399042,0.00022904,0.0001869823,0.0006812349,0.00401453],"study_design_scores_gemma":[6.95505e-7,0.00001031615,0.996556,0.000006375077,0.00000523303,0.00001794315,0.002590566,0.0001493763,0.00004352617,0.000009684522,0.0006070716,0.000003311945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952286,0.000147368,0.00005547575,0.0001309672,0.000003332172,0.00001393285,0.002970174,0.00001015442,0.001439968],"genre_scores_gemma":[0.9946572,0.000177757,0.00007146285,0.00002486166,0.000003038743,0.00001437597,0.001471949,0.000006958425,0.003572213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060058,"threshold_uncertainty_score":0.2132602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888472883012083,"score_gpt":0.2867347239301123,"score_spread":0.2478499950999915,"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."}}