{"id":"W4232729231","doi":"10.4095/301533","title":"Visible Minority Population, 2001 - Chinese Population by Census Subdivision","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; Subdivision; Population; Geography; Genealogy; Demography; History; Sociology; Archaeology","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":[0.0005176796,0.0008513316,0.0002507809,0.002913386,0.001443884,0.0007969137,0.001131974,0.0004150332,0.005224441],"category_scores_gemma":[0.0011396,0.0002920373,0.0003942408,0.00444008,0.0002151684,0.0007988818,0.000828117,0.0006377702,0.002735457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007662488,"about_ca_system_score_gemma":0.01895506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9042313,"about_ca_topic_score_gemma":0.9336382,"domain_scores_codex":[0.9995498,0.0000139925,0.00003079794,0.00003358721,0.0002593394,0.0001126198],"domain_scores_gemma":[0.9989321,0.00001756178,0.00007806303,0.00002440305,0.000753634,0.0001941674],"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":[0.0001840424,0.0001587963,0.3568873,0.0008996979,0.00007706316,0.0002170907,0.001606718,0.0005544377,0.0008473473,0.001406696,0.6042094,0.0329515],"study_design_scores_gemma":[0.00002873864,0.00002338961,0.922377,0.0001310252,0.0000287677,0.00007602156,0.0009989593,0.0003707818,0.0003091797,0.00007864965,0.07555987,0.00001757224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1170697,0.002298219,0.0002930367,0.001559812,0.0003227244,0.0008167346,0.836298,0.0002422268,0.04109956],"genre_scores_gemma":[0.2362213,0.006623164,0.001408051,0.001008383,0.0001443191,0.001456861,0.6775723,0.00006223085,0.07550337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09576869,"threshold_uncertainty_score":0.1926653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03355900231591579,"score_gpt":0.3742059646227735,"score_spread":0.3406469623068577,"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."}}