{"id":"W4236765080","doi":"10.4095/301557","title":"Visible Minority Population by Census Subdivision, 2006","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Geography; Population; American Community Survey; 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":[0.0002713719,0.0005860276,0.0002390857,0.002406773,0.0006855917,0.0009127285,0.0008624028,0.0002406745,0.01951437],"category_scores_gemma":[0.001461192,0.0001966186,0.000324754,0.004235767,0.0001094863,0.0006863729,0.0008901296,0.0005926642,0.0144314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252086,"about_ca_system_score_gemma":0.002995213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2721373,"about_ca_topic_score_gemma":0.318036,"domain_scores_codex":[0.9995472,0.00002192689,0.00003707739,0.00004398969,0.000257442,0.00009232255],"domain_scores_gemma":[0.9992782,0.00001527342,0.0001042181,0.00002317326,0.0004781563,0.0001009098],"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":[0.0001117648,0.00007765536,0.05087307,0.0005307347,0.00002928356,0.00008155521,0.0009357688,0.0002091548,0.0005028577,0.001944985,0.8893642,0.05533895],"study_design_scores_gemma":[0.00003966831,0.00004008094,0.434779,0.0003744901,0.00001840446,0.0002009254,0.001432369,0.0003060628,0.0003425277,0.0002554464,0.5621898,0.0000212232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04167735,0.001818819,0.0004219331,0.000865888,0.0004460349,0.0005238083,0.8217821,0.0004776726,0.1319864],"genre_scores_gemma":[0.09239701,0.006132072,0.002450089,0.0007183205,0.0001643943,0.001060232,0.7738928,0.000210581,0.1229745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2721373,"threshold_uncertainty_score":0.5411066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04765128610570062,"score_gpt":0.3555329586890444,"score_spread":0.3078816725833438,"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."}}