{"id":"W4240086896","doi":"10.4095/301534","title":"Visible Minority Population, 2001 - 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); Population; Geography; Genealogy; Demography; 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":[0.0003607181,0.0008445857,0.0002390565,0.003378494,0.002095587,0.001114137,0.00111947,0.0004678687,0.006983701],"category_scores_gemma":[0.001334104,0.0002737149,0.0003718662,0.004144974,0.0002058056,0.0008557254,0.0007557459,0.0007703754,0.003127391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01341158,"about_ca_system_score_gemma":0.02619293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9694747,"about_ca_topic_score_gemma":0.9815636,"domain_scores_codex":[0.9994959,0.00001022544,0.0000208585,0.00002420506,0.0003159936,0.000132909],"domain_scores_gemma":[0.9988043,0.00001800374,0.00007274622,0.00001438591,0.0009172441,0.0001732956],"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":[0.0001289641,0.0002033119,0.204538,0.0007455976,0.0000548096,0.0002045326,0.0009785943,0.0005542227,0.0005313805,0.001200369,0.7465639,0.04429623],"study_design_scores_gemma":[0.00003672203,0.00002907993,0.8519334,0.0002767301,0.00003456417,0.0001043142,0.001549203,0.0004714602,0.0004118209,0.0001064798,0.1450228,0.00002345913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07121526,0.002071633,0.000207205,0.001827787,0.000347288,0.0006786525,0.8740777,0.0002186227,0.04935584],"genre_scores_gemma":[0.1849608,0.01057468,0.001539174,0.001040111,0.0001826869,0.001018399,0.6760771,0.00007237231,0.1245346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03052527,"threshold_uncertainty_score":0.09730822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165842505741667,"score_gpt":0.3542506649772694,"score_spread":0.3225922399198527,"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."}}