{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001338005,0.00004518551,0.0000633276,0.00003874667,0.000618135,0.00001109185,0.00003182318,0.00005629094,0.0001604102],"category_scores_gemma":[0.00001556451,0.0000499551,0.000006675557,0.0001477661,0.00007483609,0.0002053925,0.00002267395,0.00004263559,4.863445e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003923814,"about_ca_system_score_gemma":0.0001144312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923218,"about_ca_topic_score_gemma":0.9999819,"domain_scores_codex":[0.9995276,0.00005220762,0.0000637125,0.0001014652,0.00009652899,0.0001584504],"domain_scores_gemma":[0.9997858,0.00001366917,0.00001988929,0.00003745269,0.00001883525,0.0001243546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008848905,0.00001322884,0.6055907,0.000001249409,0.000001563357,0.00001501619,0.380005,0.00002472418,0.000006450498,0.007272162,0.004262313,0.002798716],"study_design_scores_gemma":[0.0006842043,0.00002571154,0.8461379,0.000006740526,0.000003470055,0.000001132639,0.07262015,0.004461016,0.000003196,0.00005677549,0.07583705,0.0001626584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767098,0.0005513177,0.000009966186,0.001010348,0.00008371915,0.0000599681,0.000003244022,0.000009672729,0.02156196],"genre_scores_gemma":[0.9938467,0.0008883851,0.00003496383,0.0001235727,0.00002573982,0.000001404087,0.000004387008,0.000001626849,0.005073243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3073849,"threshold_uncertainty_score":0.4754257,"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."}}