{"id":"W4249515859","doi":"10.4095/301551","title":"Visible Minority Population, 2006 - Filipino 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; Population; Geography; Genealogy; Demography; Sociology; History; 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":[0.00021621,0.0008267967,0.0002359591,0.003318358,0.0008571204,0.0007366661,0.0006720549,0.0002639609,0.01250919],"category_scores_gemma":[0.001010158,0.0001584973,0.0003035375,0.00338694,0.0001080168,0.0008118867,0.0007884154,0.0005154003,0.007185796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624883,"about_ca_system_score_gemma":0.002377272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3174276,"about_ca_topic_score_gemma":0.3408332,"domain_scores_codex":[0.9997806,0.000009901111,0.00001435805,0.00002061714,0.0001038816,0.00007070262],"domain_scores_gemma":[0.9996172,0.000012721,0.0000605382,0.00001125306,0.0002370544,0.0000611776],"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":[0.0001815197,0.0001900101,0.1627756,0.0009073681,0.00006571787,0.0002803286,0.001503581,0.0005417176,0.0009824359,0.001665002,0.7480879,0.0828188],"study_design_scores_gemma":[0.00003329543,0.00005434114,0.7960051,0.0002779525,0.00002546733,0.0002165925,0.001704619,0.0005624128,0.0004794345,0.0001463908,0.2004735,0.00002080142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1149805,0.001645293,0.0002907923,0.0008012464,0.0003445073,0.0004429962,0.7912818,0.0004532948,0.08975966],"genre_scores_gemma":[0.2122674,0.006554021,0.001859571,0.0003764785,0.0001860454,0.001088005,0.6757128,0.000111515,0.1018441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6825724,"threshold_uncertainty_score":0.6311599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330153269169804,"score_gpt":0.3400724288402872,"score_spread":0.3167708961485892,"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."}}