{"id":"W6950788808","doi":"10.5683/sp3/t6y4ah","title":"Census of Population, 2006 [Canada]: Topic-based Tabulations, Ethnic Origin and Visible Minorities [B2020]","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Ethnic group; American Community Survey; Portrait; Range (aeronautics); Demographic analysis","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":[0.0009227457,0.002306277,0.001326757,0.007142004,0.001536704,0.003048707,0.0025397,0.0007661029,0.03066245],"category_scores_gemma":[0.008304489,0.0008291787,0.001016508,0.0290037,0.000588822,0.001296169,0.001405032,0.001953237,0.03734538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01519571,"about_ca_system_score_gemma":0.03322605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9539503,"about_ca_topic_score_gemma":0.9698546,"domain_scores_codex":[0.9987295,0.00009512571,0.0001569877,0.0002493255,0.0005003782,0.0002685644],"domain_scores_gemma":[0.9930823,0.0003674609,0.0003383701,0.0004197228,0.005252102,0.0005399924],"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":[0.00001730844,0.00000573604,0.001210972,0.0001799839,0.00001192259,0.000006572089,0.00003225672,0.0000955049,0.00001802944,0.0002414746,0.9969049,0.001275274],"study_design_scores_gemma":[0.0001296209,0.000007865642,0.0388705,0.0003405752,0.00003330766,0.00004604937,0.0004155327,0.0006358257,0.0002684117,0.0006845608,0.9584966,0.00007110521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008906823,0.00003487453,0.00002705112,0.00003372122,0.00001242049,0.000007765406,0.9992129,0.0000826909,0.0004995942],"genre_scores_gemma":[0.000458262,0.0000751285,0.000189048,0.00002183987,0.00000499396,0.00004160902,0.9984542,0.00004633572,0.0007085344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04604965,"threshold_uncertainty_score":0.1102532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802481463829793,"score_gpt":0.290988657985555,"score_spread":0.262963843347257,"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."}}