{"id":"W4242888002","doi":"10.4095/301532","title":"Visible Minority Population, 2001 - Chinese Population by Census Division","year":2010,"lang":"en","type":"report","venue":"","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Population; Genealogy; Demography; History; Sociology; Mathematics; Arithmetic","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":[0.0004784402,0.0008785203,0.0002606304,0.003291898,0.001344294,0.0008344674,0.001027471,0.0004194927,0.006074709],"category_scores_gemma":[0.001135005,0.0002866203,0.0004141844,0.004930627,0.0002110023,0.0008327501,0.0007259553,0.0006681554,0.003254641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007413351,"about_ca_system_score_gemma":0.01748992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8862555,"about_ca_topic_score_gemma":0.9206326,"domain_scores_codex":[0.9995158,0.00001297947,0.0000337875,0.00003301376,0.0002947264,0.0001096549],"domain_scores_gemma":[0.9988617,0.00001781688,0.00008176997,0.00002153706,0.0008363061,0.0001809498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001382267,0.000142341,0.2597387,0.0009519574,0.00007310544,0.0001671676,0.001163126,0.0004857995,0.000726939,0.001300363,0.702754,0.03235824],"study_design_scores_gemma":[0.0000311076,0.00002483783,0.8920145,0.0001796659,0.0000326239,0.00008528829,0.0009946618,0.0003745445,0.0003240891,0.00008974582,0.105829,0.00001995876],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08134543,0.002358588,0.0002556012,0.001470171,0.0004230971,0.0007914169,0.8680924,0.0002145711,0.04504888],"genre_scores_gemma":[0.1920328,0.008699298,0.001440689,0.001288728,0.0001988193,0.001716302,0.7082095,0.00006722453,0.08634656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1137445,"threshold_uncertainty_score":0.2288287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289276962589868,"score_gpt":0.3743635947489839,"score_spread":0.3414708251230852,"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."}}