{"id":"W4248959042","doi":"10.4095/301541","title":"Visible Minority Population, 2001 - South East Asian Population by Census Subdivision","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Geography; East Asia; Population; Genealogy; Demography; History; Archaeology; Sociology; China","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":[0.000451903,0.0008995553,0.0002359866,0.002516586,0.001858755,0.001031514,0.001221885,0.0004242173,0.006096678],"category_scores_gemma":[0.001206791,0.0003018087,0.0004179729,0.003802462,0.0002186643,0.0008343672,0.0008733461,0.0008139551,0.00325266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01003657,"about_ca_system_score_gemma":0.02872714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9647856,"about_ca_topic_score_gemma":0.9802587,"domain_scores_codex":[0.9995362,0.00001190326,0.000022754,0.00002422649,0.0002861247,0.0001189309],"domain_scores_gemma":[0.9988109,0.00001857975,0.00006912268,0.00001692345,0.000888403,0.0001960685],"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":[0.0001626654,0.000202146,0.2410662,0.0007675148,0.00005910069,0.0002315517,0.001536788,0.0005917719,0.0006177424,0.00115578,0.7112594,0.04234936],"study_design_scores_gemma":[0.00004441227,0.00003247332,0.862632,0.0002729006,0.00004158379,0.0001245975,0.002001271,0.0004778969,0.0004696652,0.000120376,0.1337595,0.00002340525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08235151,0.002077951,0.0003037493,0.001862817,0.0003457528,0.0008239088,0.8615634,0.0002333713,0.05043764],"genre_scores_gemma":[0.1930711,0.009947876,0.002040438,0.001102801,0.0001635733,0.001168639,0.6695518,0.00009379726,0.12286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03521442,"threshold_uncertainty_score":0.07282078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305807496955947,"score_gpt":0.3337936898545248,"score_spread":0.3007356148849654,"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."}}