{"id":"W3176111815","doi":"10.1017/s0008423921000391","title":"A New Dataset on the Demographics of Canadian Federal Election Candidates","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Calgary; Carleton University; University of Toronto","funders":"University of Toronto","keywords":"Diversity (politics); Demographics; Indigenous; Government (linguistics); Political science; Race (biology); Racial diversity; Politics; Track (disk drive); General election; Crowd sourcing; Public administration; Ethnic group; Computer science; Data science; Sociology; Gender studies; Law; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001708852,0.0006651509,0.0009267529,0.01002577,0.004186965,0.002450551,0.002247023,0.0007599219,0.01931505],"category_scores_gemma":[0.009254703,0.0004086229,0.0006469433,0.01669248,0.0005147838,0.0007536283,0.001845679,0.001193099,0.006693431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02868081,"about_ca_system_score_gemma":0.04469199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.982495,"about_ca_topic_score_gemma":0.9916904,"domain_scores_codex":[0.9967479,0.0001864572,0.000160238,0.0004833838,0.001593747,0.0008282765],"domain_scores_gemma":[0.9898452,0.0005584754,0.0005380945,0.000752276,0.007176447,0.001129548],"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":[0.000196424,0.000128484,0.07407159,0.0003129586,0.00007068539,0.000142005,0.0009861374,0.001056361,0.0005342322,0.004296379,0.8738419,0.04436277],"study_design_scores_gemma":[0.00006791198,0.00002187206,0.3355722,0.000171742,0.00003427161,0.00007652469,0.001520923,0.001477309,0.000428225,0.0006253082,0.6599013,0.0001022878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0291431,0.0003100163,0.000832047,0.0006361749,0.00009683501,0.000322732,0.9544764,0.0003338685,0.01384875],"genre_scores_gemma":[0.06631278,0.0002703335,0.003787713,0.0002769537,0.00004875403,0.000715513,0.9188563,0.0000919133,0.009639697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02868081,"threshold_uncertainty_score":0.2080948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05038948250110899,"score_gpt":0.3363990119342242,"score_spread":0.2860095294331152,"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."}}