{"id":"W4238304625","doi":"10.4095/301546","title":"Visible Minority Population, 2006 - Black Population by Census Division","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"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":[0.0003184823,0.000770288,0.0002923462,0.002517227,0.0007951008,0.0008601795,0.0007268743,0.0002908563,0.01948054],"category_scores_gemma":[0.0011892,0.0002005507,0.0003638288,0.003483668,0.0001236096,0.0008075678,0.0007212748,0.0006857687,0.01466223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326622,"about_ca_system_score_gemma":0.00349286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3009892,"about_ca_topic_score_gemma":0.3450808,"domain_scores_codex":[0.9996011,0.00001913734,0.00002476362,0.00003710645,0.0002337715,0.00008418262],"domain_scores_gemma":[0.999432,0.00001417777,0.00008369189,0.00001291207,0.0003751816,0.00008208137],"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":[0.00009414979,0.00007401031,0.0405979,0.0006460833,0.0000388219,0.00006858922,0.0005592097,0.000211308,0.0004224314,0.001463639,0.9119135,0.04391051],"study_design_scores_gemma":[0.00005574883,0.00005632051,0.4505199,0.0004131533,0.00002909552,0.0001695354,0.001253193,0.0003830208,0.0004806013,0.0003004238,0.5463158,0.00002309935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02989272,0.001848069,0.0003604911,0.0008147709,0.0005206526,0.0004428025,0.8747739,0.0003405888,0.09100612],"genre_scores_gemma":[0.08783545,0.00839454,0.002739805,0.0009287408,0.0002551101,0.001481262,0.757617,0.0002053662,0.1405427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6990107,"threshold_uncertainty_score":0.5984746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369654487762656,"score_gpt":0.3416883784538912,"score_spread":0.3179918335762646,"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."}}