{"id":"W1559820566","doi":"","title":"Work and Commuting in Census Metropolitan Areas, 1996 to 2001","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metropolitan area; Downtown; Public transport; Census; City centre; Geography; Decentralization; Journey to work; Suburbanization; Work (physics); Business; Economic growth; Economic geography; Regional science; Transport engineering; Population; Political science; Engineering; Demography; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004534368,0.0006381153,0.0003132292,0.003257775,0.000866907,0.001146271,0.001164468,0.0004257196,0.002815553],"category_scores_gemma":[0.0032223,0.0003735388,0.0003804897,0.007209859,0.0002117101,0.0007052497,0.0008049441,0.0007585916,0.001471445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003841042,"about_ca_system_score_gemma":0.002310014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6927717,"about_ca_topic_score_gemma":0.6956095,"domain_scores_codex":[0.9992707,0.00005833331,0.0001192905,0.0001075653,0.0003053187,0.0001387911],"domain_scores_gemma":[0.9972906,0.0001120276,0.0009145905,0.00009699331,0.001267698,0.0003181705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001795232,0.00009229429,0.9393792,0.00042048,0.0001591521,0.0001349183,0.001435593,0.0006601284,0.0002153356,0.0002542193,0.04554708,0.01152213],"study_design_scores_gemma":[0.000009360443,0.00001729426,0.9774294,0.00005403016,0.00001341144,0.00005602678,0.0007202168,0.0001333693,0.00006611119,0.00001477187,0.02147875,0.00000732858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4343425,0.001888849,0.0002788405,0.0005509885,0.0001476016,0.000302184,0.5496202,0.000143592,0.01272533],"genre_scores_gemma":[0.6150146,0.003696767,0.0006526326,0.0002352193,0.00008849775,0.0007238322,0.3609437,0.00005510957,0.0185896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6927717,"threshold_uncertainty_score":0.6180753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0611305766805133,"score_gpt":0.3756417120233639,"score_spread":0.3145111353428506,"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."}}