{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005616374,0.0003529238,0.0004808326,0.001200209,0.001595234,0.0003285665,0.0005844778,0.000297348,0.0003045612],"category_scores_gemma":[0.0005074654,0.0003727688,0.00009506299,0.002257006,0.001412968,0.001300196,0.00001322498,0.002240814,0.00000647543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004707431,"about_ca_system_score_gemma":0.004741279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917908,"about_ca_topic_score_gemma":0.999657,"domain_scores_codex":[0.9919116,0.0009176883,0.001126614,0.001188583,0.002937927,0.001917515],"domain_scores_gemma":[0.9949806,0.001430956,0.0001401611,0.0005181959,0.001791925,0.001138191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002078085,0.0001360887,0.9635436,0.0001693064,0.00002614408,0.00006596176,0.01774592,0.00002952497,0.001012247,0.01241186,0.0002957707,0.004355794],"study_design_scores_gemma":[0.0009930918,0.00008270608,0.966728,0.00009016066,0.00001751211,1.694244e-7,0.01821134,0.00002546312,0.0001987342,0.001439285,0.01186328,0.0003502259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982056,0.0001032679,0.0001168462,0.01330512,0.0001172442,0.001879636,0.001852296,0.00008523282,0.00048441],"genre_scores_gemma":[0.9970965,0.0007767262,0.0005753394,0.0001603902,0.0001959152,0.0003902193,0.0003920978,0.00005366192,0.0003591841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504052,"threshold_uncertainty_score":0.9998724,"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."}}