{"id":"W4232160628","doi":"10.4095/301548","title":"Visible Minority Population, 2006 - 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); Population; Geography; 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":[0.0003483061,0.0008604926,0.0002970539,0.002586114,0.0006765433,0.0006855358,0.000707554,0.0002723527,0.01015862],"category_scores_gemma":[0.0009221234,0.0002284655,0.0003624606,0.004411286,0.0001506309,0.0007777998,0.0006690039,0.0005107399,0.006335903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967941,"about_ca_system_score_gemma":0.005514206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3123535,"about_ca_topic_score_gemma":0.3135481,"domain_scores_codex":[0.999671,0.00001453408,0.00003579226,0.00003579008,0.0001622502,0.00008066326],"domain_scores_gemma":[0.9995164,0.00001140214,0.000063224,0.00001848538,0.0003015521,0.00008888914],"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":[0.0001524212,0.00009112152,0.1433733,0.001216197,0.00007870577,0.0001548153,0.001067924,0.0004234664,0.001030895,0.002193988,0.8013475,0.04886971],"study_design_scores_gemma":[0.00003700545,0.00004311503,0.761678,0.0001813017,0.00003570614,0.0001339346,0.0008715686,0.0005339853,0.0004783834,0.000161865,0.2358194,0.00002576092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08250322,0.002279358,0.0003890903,0.001020009,0.000562689,0.0005979046,0.8399436,0.0004493568,0.07225478],"genre_scores_gemma":[0.1668442,0.006643493,0.001532402,0.0008552542,0.0002156988,0.001680002,0.7388397,0.00009217817,0.08329701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6876465,"threshold_uncertainty_score":0.6210707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350342651211279,"score_gpt":0.3597418262944044,"score_spread":0.3362383997822916,"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."}}