{"id":"W7133074178","doi":"","title":"Women in the House: The Impact of Elected Women on Parliamentary Debate and Policymaking in Canada","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Parliament; Representation (politics); Politics; Context (archaeology); Scope (computer science); Parliamentary procedure; Content analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005771596,0.0003128535,0.0006497781,0.003507281,0.02923133,0.009569902,0.001933022,0.001645754,0.008452334],"category_scores_gemma":[0.02101602,0.0004655955,0.0005044436,0.006331031,0.009235508,0.002173712,0.005765304,0.003058211,0.0005108573],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2168659,"about_ca_system_score_gemma":0.2170998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994229,"about_ca_topic_score_gemma":0.996942,"domain_scores_codex":[0.9881302,0.001634992,0.0002550396,0.0009210876,0.003963113,0.005095643],"domain_scores_gemma":[0.9831497,0.003669453,0.00201345,0.000365314,0.005201499,0.005600578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006201088,0.0001181274,0.2093075,0.0004762697,0.0001052415,0.002070396,0.5613344,0.0008564278,0.001696283,0.05672239,0.05126699,0.1154259],"study_design_scores_gemma":[0.00002748364,0.00006596958,0.34546,0.0003952656,0.00005345004,0.0002004763,0.320641,0.0005769341,0.0007950878,0.002110208,0.3295066,0.0001674145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8616301,0.00557924,0.0005918522,0.03488289,0.0005379479,0.0001230142,0.0009977326,0.00006801158,0.09558915],"genre_scores_gemma":[0.9813362,0.0009479355,0.0001683809,0.00129315,0.00004006681,0.0000162531,0.0001493517,0.00003133988,0.01601742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2168659,"threshold_uncertainty_score":0.9083246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188870194158602,"score_gpt":0.3675944655177529,"score_spread":0.3357057635761669,"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."}}