{"id":"W7033674578","doi":"","title":"Representation of Women and Visible Minorities on Agencies, Boards, and Commissions in Ontario","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Representation (politics); Government (linguistics); Context (archaeology); Agency (philosophy); Ethnic group","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":[0.000598344,0.0001683083,0.0002693538,0.001894814,0.006249824,0.00236771,0.0008860336,0.0006784278,0.009367835],"category_scores_gemma":[0.002592483,0.0003739781,0.0002769909,0.003566448,0.002170241,0.000848044,0.002804335,0.0007606,0.0004572383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03214443,"about_ca_system_score_gemma":0.03082232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833226,"about_ca_topic_score_gemma":0.9967694,"domain_scores_codex":[0.9984687,0.0001357508,0.00004677916,0.0001192317,0.0003886961,0.0008408257],"domain_scores_gemma":[0.9967127,0.0002791092,0.0007518879,0.00008954041,0.0006769312,0.001489918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003222438,0.00007238082,0.8087281,0.0001344943,0.00003297861,0.0006275105,0.1475704,0.0001288097,0.001625533,0.005162071,0.006812072,0.02878341],"study_design_scores_gemma":[0.000007526601,0.00002857491,0.8320744,0.00009013099,0.00001093519,0.00007964522,0.1535375,0.0001255663,0.0001308722,0.0002035492,0.01369333,0.00001803111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829378,0.0002571768,0.00005190546,0.001461272,0.00001490459,0.00002920911,0.0006842396,0.000004323639,0.01455925],"genre_scores_gemma":[0.9843696,0.0003643659,0.0000881674,0.0002105778,0.000006409902,0.00001889652,0.0002052698,0.000006468042,0.01473009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03214443,"threshold_uncertainty_score":0.2332252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360813566047649,"score_gpt":0.2570178011076761,"score_spread":0.2234096654471996,"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."}}