{"id":"W6904612195","doi":"10.14288/1.0354876","title":"Chinese immigration in British Columbia","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Government (linguistics); China; Population","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":[0.0005729988,0.0003339231,0.0002539154,0.001006628,0.02459226,0.003556426,0.0006415188,0.001409543,0.01074282],"category_scores_gemma":[0.001168443,0.0001998209,0.0001198593,0.00228587,0.002814396,0.0006845529,0.002103386,0.002928195,0.001008339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03730888,"about_ca_system_score_gemma":0.06891749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894785,"about_ca_topic_score_gemma":0.9968213,"domain_scores_codex":[0.9994716,0.00004349672,0.00001532779,0.00004876872,0.0001151538,0.0003056531],"domain_scores_gemma":[0.9993929,0.0000563719,0.00002279186,0.00001586102,0.0002962142,0.0002159403],"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":[0.0001108651,0.00003300593,0.01137905,0.0002146231,0.00001578815,0.002227178,0.102506,0.0001120342,0.001109472,0.02459465,0.8047576,0.05293975],"study_design_scores_gemma":[0.000009186865,0.00001216306,0.05674019,0.0002242627,0.00001451226,0.0001529835,0.09554501,0.00005138918,0.0003600765,0.0007175761,0.8461244,0.00004816061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3226312,0.03150976,0.0002082798,0.1685168,0.00999104,0.0001124845,0.002448958,0.0001039007,0.4644777],"genre_scores_gemma":[0.4468897,0.008834055,0.0001958327,0.01734742,0.0005891814,0.00005549426,0.0006487927,0.00006840867,0.5253711],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03730888,"threshold_uncertainty_score":0.2706962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087725090465503,"score_gpt":0.2738399653671892,"score_spread":0.2629627144625342,"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."}}