{"id":"W7043418773","doi":"","title":"“Size Matters: Attracting Immigrants to Canadian Cities”","year":2010,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Immigration; Attractiveness; Appeal; Population; Index (typography); Extant taxon","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":[0.001778889,0.0002930687,0.0002628937,0.00142787,0.01818441,0.00580163,0.001569051,0.001959441,0.01255965],"category_scores_gemma":[0.0094038,0.00019253,0.000362879,0.00240421,0.003346569,0.002247961,0.002414648,0.001778204,0.0006064868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03368705,"about_ca_system_score_gemma":0.06358229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751536,"about_ca_topic_score_gemma":0.9942539,"domain_scores_codex":[0.9982731,0.0002565733,0.00002850031,0.00008590153,0.0004642161,0.0008916528],"domain_scores_gemma":[0.9946765,0.0005233209,0.0004807819,0.00008322982,0.001523984,0.002712072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005077083,0.0004337425,0.6494423,0.0001518322,0.00006862041,0.0006771501,0.07406031,0.0003360219,0.0006298258,0.03000106,0.1346324,0.1090591],"study_design_scores_gemma":[0.00007131521,0.0001147447,0.5128415,0.0002990161,0.0001645829,0.0001569099,0.3708552,0.000457065,0.0005036812,0.002621282,0.1118114,0.0001033418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520347,0.001247452,0.000183019,0.04778615,0.0003239921,0.00006792091,0.0003678191,0.00002123209,0.09796774],"genre_scores_gemma":[0.9791891,0.0005746791,0.00012758,0.004965408,0.00006427045,0.00001491194,0.00009826146,0.0000154302,0.01495036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03368705,"threshold_uncertainty_score":0.2444178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441736114815548,"score_gpt":0.1880873629659801,"score_spread":0.1736700018178247,"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."}}