{"id":"W7096384054","doi":"","title":"Multiculturalism and Local Government in Vancouver","year":2014,"lang":"en","type":"article","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Local government; Multiculturalism; Government (linguistics); Immigration; Focus group; Public policy","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":[0.001315633,0.0001570491,0.0002746764,0.001919535,0.01492754,0.004613254,0.001058122,0.0006696944,0.005346491],"category_scores_gemma":[0.003863011,0.0003111885,0.0001119291,0.004811268,0.004278326,0.0007411028,0.003639546,0.001235341,0.0002935953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05017481,"about_ca_system_score_gemma":0.04369136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9660758,"about_ca_topic_score_gemma":0.9888027,"domain_scores_codex":[0.9969605,0.0006950565,0.00008983307,0.0001840987,0.0007698216,0.001300746],"domain_scores_gemma":[0.9958004,0.0005520937,0.000363598,0.0001194629,0.001147302,0.00201711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001193782,0.0002471589,0.3700993,0.0003649177,0.00004292449,0.002138007,0.4217865,0.000693057,0.0008558564,0.03452832,0.0173579,0.1517667],"study_design_scores_gemma":[0.00001784342,0.00007097212,0.4851562,0.0003201015,0.00001329409,0.0003590693,0.381272,0.0002393323,0.0001782467,0.001229703,0.1310893,0.0000538836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387575,0.00221044,0.00005719746,0.00311502,0.00003069757,0.00002562116,0.0001243051,0.00001216479,0.05566709],"genre_scores_gemma":[0.9857268,0.0009669393,0.0000898338,0.0002201469,0.000006464636,0.00001277672,0.0000760172,0.000007080688,0.01289399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05017481,"threshold_uncertainty_score":0.3640454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004509901161266239,"score_gpt":0.196485341371737,"score_spread":0.1919754402104707,"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."}}