{"id":"W3136281629","doi":"","title":"Diversity and Concentration in Canadian Immigration: Trends in Toronto, Montréal and Vancouver, 1971–2006","year":2008,"lang":"en","type":"article","venue":"TSpace","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Diversity (politics); Geography; Sociology; Archaeology; Anthropology","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":[0.0006296935,0.0005323554,0.0005201884,0.00622177,0.004121408,0.002486809,0.001817681,0.0005834689,0.004432898],"category_scores_gemma":[0.002776662,0.0004331504,0.0008882081,0.0149452,0.001373857,0.0008301554,0.001728644,0.0008086524,0.0005270158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05497122,"about_ca_system_score_gemma":0.05273462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998736,"about_ca_topic_score_gemma":0.9995112,"domain_scores_codex":[0.9990516,0.00004922268,0.00007837397,0.0001298112,0.000332086,0.0003589752],"domain_scores_gemma":[0.9963677,0.0001239576,0.0005584322,0.00007349009,0.001919649,0.0009567167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001475045,0.0000304413,0.9675592,0.000227647,0.0001740217,0.0001637659,0.005276286,0.0005535728,0.0003041978,0.0005663568,0.00804983,0.01694722],"study_design_scores_gemma":[0.000003250655,0.000008337619,0.9948044,0.00003557555,0.00001755318,0.00003090197,0.00192052,0.0001296373,0.00004642538,0.0000130372,0.002976862,0.00001339321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620849,0.006049598,0.0002139933,0.001440218,0.00008312154,0.00005931733,0.02381435,0.00007416527,0.006180313],"genre_scores_gemma":[0.9820065,0.002620061,0.0004633576,0.0001109222,0.00003471119,0.00004078414,0.005846888,0.00001678436,0.008859915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05497122,"threshold_uncertainty_score":0.398846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413725548622767,"score_gpt":0.281387711275502,"score_spread":0.2672504557892743,"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."}}