{"id":"W7019948179","doi":"","title":"Immigration and the Population of Canada: The 2000-2010 Decade in Historical Context","year":2011,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Context (archaeology); Population; Immigration policy; Distribution (mathematics)","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":[0.000798362,0.0003015981,0.0003567927,0.004906765,0.005469617,0.004287239,0.001173672,0.0008060632,0.004528425],"category_scores_gemma":[0.002478096,0.0002575144,0.0004763803,0.01610473,0.001569555,0.00137825,0.00195876,0.001686183,0.000376243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08841017,"about_ca_system_score_gemma":0.1015797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984811,"about_ca_topic_score_gemma":0.999137,"domain_scores_codex":[0.9990415,0.00004118158,0.00004525203,0.0000919004,0.0002516425,0.0005284696],"domain_scores_gemma":[0.9978788,0.0001083458,0.0003492897,0.00003292654,0.001004977,0.0006257835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002409354,0.0001100215,0.778721,0.00089786,0.0001894539,0.0009205317,0.01875567,0.002410486,0.0003119193,0.0309097,0.05916342,0.1073691],"study_design_scores_gemma":[0.000008339722,0.00002814726,0.8909663,0.0006370023,0.00006939103,0.0002368869,0.01582048,0.0008783219,0.0001369803,0.0008228119,0.09033594,0.00005938635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8463082,0.05394323,0.0003685379,0.0228851,0.000522834,0.00006217788,0.03128954,0.0000865542,0.04453383],"genre_scores_gemma":[0.952563,0.02707508,0.0003311144,0.0008395318,0.0001392532,0.00002030794,0.006782218,0.00002825632,0.01222116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08841017,"threshold_uncertainty_score":0.6414636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06943811037862395,"score_gpt":0.2799773945694095,"score_spread":0.2105392841907855,"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."}}