{"id":"W71469171","doi":"","title":"Immigrant Settlement and Transit Use in Canada: Patterns and Policy Implications","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Metropolitan area; Settlement (finance); Government (linguistics); Public transport; Economic growth; Public policy; Immigration policy; Political science; Geography; Regional science; Business; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007083701,0.0002353588,0.0003598148,0.002427791,0.005229504,0.002322342,0.001163132,0.0006798066,0.003993192],"category_scores_gemma":[0.002934756,0.0001923324,0.0006007868,0.007067981,0.001376579,0.0006428552,0.001905676,0.0007947051,0.0002356309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03244827,"about_ca_system_score_gemma":0.05634539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945657,"about_ca_topic_score_gemma":0.996394,"domain_scores_codex":[0.9990284,0.00009252303,0.00005383774,0.00008637487,0.0001813098,0.000557554],"domain_scores_gemma":[0.997752,0.0001771338,0.0004288383,0.00004660305,0.0008430571,0.0007523648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001374481,0.00009017043,0.9711147,0.00007109407,0.00002857567,0.0003855811,0.006974447,0.0002649488,0.000220848,0.001414291,0.002421306,0.01687659],"study_design_scores_gemma":[0.00001067331,0.00003095331,0.9690847,0.0001020063,0.00001828781,0.0001355223,0.02630005,0.0006330694,0.00007265934,0.0001741143,0.003413726,0.00002415539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929737,0.0007185507,0.00004899251,0.001589513,0.00001085823,0.00002309773,0.001027762,0.000009839123,0.003597641],"genre_scores_gemma":[0.9960241,0.001039604,0.0001028465,0.0001507858,0.000006755422,0.00001281448,0.0005541842,0.00000551055,0.002103237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03244827,"threshold_uncertainty_score":0.2354298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05652793176852584,"score_gpt":0.3889806631477963,"score_spread":0.3324527313792705,"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."}}