{"id":"W2473215124","doi":"10.25336/p64609","title":"Canada's Immigration Trends and Patterns","year":2016,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Immigration; Fertility; Population; Demography; Geography; Population growth; Demographic transition; Political science; Demographic economics; Sociology; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008704014,0.0003067682,0.0003716976,0.006209552,0.004861298,0.002567285,0.001287716,0.0003905352,0.004943942],"category_scores_gemma":[0.002760255,0.0002067936,0.0004604314,0.01513894,0.001179351,0.0006585151,0.001340022,0.0008720618,0.0004868731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03828201,"about_ca_system_score_gemma":0.06075555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962735,"about_ca_topic_score_gemma":0.9978299,"domain_scores_codex":[0.9987249,0.00004748497,0.00008176548,0.0001771286,0.0004647855,0.0005038571],"domain_scores_gemma":[0.9962625,0.0001359146,0.000449451,0.00006559419,0.002311968,0.0007745713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000919348,0.00005498318,0.8954107,0.000287468,0.00009074656,0.0002512539,0.01305342,0.0002856033,0.0002999051,0.003802328,0.03127218,0.05509948],"study_design_scores_gemma":[0.000003683719,0.00001289292,0.968017,0.0001540042,0.00002097344,0.00008334845,0.009373183,0.0001923192,0.00006741876,0.00009250448,0.02196225,0.00002035566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039225,0.008087371,0.0002720267,0.009039478,0.0001377636,0.0001061872,0.0281556,0.0001234135,0.05015565],"genre_scores_gemma":[0.9711415,0.007262309,0.0005417138,0.0006858938,0.00003576222,0.00004299434,0.008845218,0.00004010955,0.01140454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03828201,"threshold_uncertainty_score":0.2777568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465095037202225,"score_gpt":0.3080228920495796,"score_spread":0.2833719416775574,"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."}}