{"id":"W1501473208","doi":"10.1002/9781444351071.wbeghm091","title":"Canada: 20th‐century migration","year":2013,"lang":"en","type":"other","venue":"The Encyclopedia of Global Human Migration","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; China; Geography; Ethnic group; Sri lanka; Population; Socioeconomics; Political science; Development economics; Economic growth; Demography; Sociology; Economics; Archaeology","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":[0.0005997968,0.0003044101,0.0002003448,0.001696758,0.01022302,0.006127722,0.0007539478,0.001116163,0.03348987],"category_scores_gemma":[0.001613166,0.0001115996,0.000198878,0.00588178,0.002579834,0.001377692,0.002127283,0.001681435,0.002067583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07516967,"about_ca_system_score_gemma":0.1919485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919579,"about_ca_topic_score_gemma":0.9936376,"domain_scores_codex":[0.9990278,0.00006456497,0.0000206609,0.00006171806,0.0003980852,0.0004270861],"domain_scores_gemma":[0.9986229,0.00007212757,0.00004653124,0.00004514653,0.0006341016,0.0005791757],"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":[0.00001639561,0.00002672793,0.003617135,0.0001852676,0.000005991443,0.0003439324,0.006466367,0.0001832916,0.0001186322,0.1597888,0.7452468,0.08400072],"study_design_scores_gemma":[0.000002256189,0.000002749179,0.005209993,0.0001682252,0.000002369247,0.00006281059,0.004031227,0.00005830532,0.00003702741,0.002098973,0.9883173,0.000008789331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02452258,0.01912306,0.000298438,0.09203537,0.001832335,0.00005627573,0.005589682,0.0001344968,0.8564078],"genre_scores_gemma":[0.2727424,0.045454,0.0008665208,0.01761725,0.0005218115,0.00006105259,0.002806834,0.0001390663,0.6597911],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07516967,"threshold_uncertainty_score":0.5453967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007803064656778196,"score_gpt":0.2535545917006343,"score_spread":0.2457515270438561,"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."}}