{"id":"W4249713853","doi":"10.4095/301550","title":"Visible Minority Population, 2006 - Filipino Population by Census Division","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; Division (mathematics); Geography; Population; Demography; Genealogy; Sociology; History; Mathematics","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":[0.0002057803,0.0008571677,0.0002398537,0.003389803,0.0008891548,0.0007830712,0.0006164905,0.0002788212,0.01418875],"category_scores_gemma":[0.0009969315,0.0001553837,0.0002903294,0.00366165,0.0001079579,0.000864886,0.0006947708,0.0005472846,0.00832693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589571,"about_ca_system_score_gemma":0.002340406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2640767,"about_ca_topic_score_gemma":0.2870239,"domain_scores_codex":[0.9997754,0.000009470534,0.00001519719,0.00002055721,0.0001093631,0.00006995395],"domain_scores_gemma":[0.9996253,0.00001223645,0.00006259236,0.0000100146,0.0002299711,0.00005987918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001384577,0.000152848,0.1090057,0.00090674,0.00005368469,0.0002112812,0.0009895236,0.0003667836,0.0007474355,0.001350432,0.811872,0.07420519],"study_design_scores_gemma":[0.00003514857,0.00005425088,0.7458794,0.0003368496,0.00002741038,0.0002211102,0.001503192,0.0004978789,0.0004737515,0.0001465155,0.2508036,0.00002088018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.08720848,0.002037179,0.0002766179,0.0009348495,0.0004846715,0.0004335869,0.8172553,0.0004356103,0.09093361],"genre_scores_gemma":[0.1856415,0.009205724,0.001830664,0.0005247464,0.0002698936,0.00127541,0.6872332,0.0001129959,0.1139059],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7359233,"threshold_uncertainty_score":0.5250791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282547697472932,"score_gpt":0.3402883528532228,"score_spread":0.3174628758784935,"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."}}