{"id":"W4210765166","doi":"10.32920/19083371","title":"Travel behaviour of Asian & European immigrants in the Greater Toronto and Hamilton area","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Immigration; Ethnic group; Population; Demographic economics; Settlement (finance); Geography; Travel behavior; Demography; Sociology; Business; Economics; Engineering; Transport engineering","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":[0.000249081,0.0001823652,0.0001817845,0.0004993216,0.001551799,0.00085618,0.0004371938,0.000338763,0.002383376],"category_scores_gemma":[0.0006232751,0.0001680341,0.0002455984,0.001026536,0.0007438911,0.0003685065,0.0008435312,0.0004014301,0.0003035661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005334867,"about_ca_system_score_gemma":0.003673279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8877566,"about_ca_topic_score_gemma":0.9686484,"domain_scores_codex":[0.9998417,0.00002582417,0.00001361865,0.00002479757,0.00003658473,0.00005747841],"domain_scores_gemma":[0.9995178,0.00003474546,0.0001069411,0.00002123052,0.0001199666,0.0001991949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000877805,0.00006183148,0.9478239,0.0000578748,0.00002710895,0.0006466997,0.04286677,0.00006351788,0.0007492545,0.0001578963,0.001430847,0.006026579],"study_design_scores_gemma":[0.000002313455,0.00006092361,0.9430556,0.00003312227,0.000008679332,0.00009880949,0.05566748,0.00006232984,0.00004039902,0.000009214779,0.0009510649,0.00001000982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987597,0.00006634981,0.000006592636,0.00008923875,0.000003059534,0.00001058927,0.0001529443,0.000001126751,0.0009103158],"genre_scores_gemma":[0.9978747,0.0002018513,0.0000337108,0.00008100856,0.000002508467,0.00001110279,0.000150749,0.000001404114,0.001642943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122434,"threshold_uncertainty_score":0.2258087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04954524509720167,"score_gpt":0.3091310544953624,"score_spread":0.2595858093981607,"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."}}