{"id":"W1483188608","doi":"10.1002/9781444351071.wbeghm087","title":"Canada: immigration and settlement","year":2013,"lang":"en","type":"other","venue":"The Encyclopedia of Global Human Migration","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Wage; Legislation; Deportation; Immigration policy; Political science; Settlement (finance); Economy; Business; Economics; Payment; Law","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":[0.000661681,0.0005804349,0.0004488204,0.00415291,0.01613669,0.009360727,0.001035633,0.001736563,0.07395388],"category_scores_gemma":[0.002407951,0.0002507747,0.0003102178,0.01356468,0.003597846,0.001952623,0.003554336,0.002013281,0.005587893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07935889,"about_ca_system_score_gemma":0.1989934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990889,"about_ca_topic_score_gemma":0.9935958,"domain_scores_codex":[0.9986376,0.0001075647,0.00004784473,0.00009652651,0.0005212151,0.0005892194],"domain_scores_gemma":[0.9983689,0.00009642078,0.00007990675,0.00004990356,0.0007492894,0.0006556297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001755359,0.00003055873,0.003974801,0.0003713869,0.000006424907,0.0003605083,0.005172111,0.0001629876,0.00005524107,0.1009474,0.781933,0.106968],"study_design_scores_gemma":[0.000004079237,0.000003696995,0.007797807,0.0004689235,0.00000376925,0.00009169976,0.006010431,0.00005456573,0.00002050167,0.002305054,0.9832256,0.00001374751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01212846,0.05255813,0.0002519253,0.05123853,0.003263315,0.0001072171,0.01048187,0.0001479749,0.8698226],"genre_scores_gemma":[0.2168725,0.09500828,0.0009171442,0.007660578,0.0009366774,0.0001267474,0.006446555,0.0001676993,0.6718638],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07935889,"threshold_uncertainty_score":0.5757917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005249786028619216,"score_gpt":0.2241693431269807,"score_spread":0.2189195570983615,"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."}}