{"id":"W35775836","doi":"10.1080/02648725.2022.2074696","title":"South Asian Immigration to Canada Then and Now","year":2014,"lang":"en","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Immigration; Presentation (obstetrics); Political science; Service provider; Service (business); Economic growth; Ethnology; History; Economy; Medicine; Economics; 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":[0.0001935392,0.0003631583,0.000248434,0.0005589398,0.007951441,0.002236216,0.0005488578,0.0004874234,0.04927198],"category_scores_gemma":[0.0004503724,0.0001002426,0.0002760063,0.002225789,0.000824146,0.0005277586,0.001379864,0.001378767,0.004512195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01941626,"about_ca_system_score_gemma":0.05153377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9799489,"about_ca_topic_score_gemma":0.9917666,"domain_scores_codex":[0.9996413,0.00002071139,0.000007650999,0.00003811029,0.00007686342,0.0002154153],"domain_scores_gemma":[0.9995528,0.00001068076,0.00002752387,0.00001557162,0.0002068099,0.0001866036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003201935,0.0001790547,0.1804483,0.000566885,0.0001205187,0.00516344,0.02786222,0.0003063954,0.00583069,0.06183211,0.2829376,0.4344327],"study_design_scores_gemma":[0.00001185167,0.00002930423,0.07945851,0.0001958892,0.0000271176,0.0008144533,0.02674075,0.0001092043,0.0006923853,0.001024719,0.8908632,0.00003264438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3774562,0.01169181,0.001614677,0.0503523,0.003204781,0.0001771736,0.008806779,0.0003181169,0.5463781],"genre_scores_gemma":[0.3596685,0.006648408,0.001355142,0.009419274,0.00014459,0.00004884108,0.001863575,0.00009483156,0.6207569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04927198,"threshold_uncertainty_score":0.1648312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005074453302555392,"score_gpt":0.2287544224049997,"score_spread":0.2236799691024443,"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."}}