{"id":"W3004564605","doi":"10.3138/utq.88.3.hr67","title":"<i>Ms. Prime Minister: Gender, Media, and Leadership</i> by Linda Trimble","year":2019,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prime minister; Prime (order theory); Political science; Media studies; Sociology; Law; Mathematics; Politics; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001927434,0.001000007,0.0007081149,0.001239815,0.004869547,0.003272009,0.0009349911,0.003045649,0.05566799],"category_scores_gemma":[0.004688565,0.0006688709,0.000358818,0.001660979,0.001180491,0.003442261,0.002034638,0.005010897,0.02267032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003854649,"about_ca_system_score_gemma":0.004131697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07213296,"about_ca_topic_score_gemma":0.1885221,"domain_scores_codex":[0.9991432,0.0002562939,0.00003101051,0.0001090284,0.0003482825,0.0001121715],"domain_scores_gemma":[0.996503,0.0009603708,0.0002598895,0.00006332647,0.001262957,0.0009503515],"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":[0.000003971735,0.000001583369,0.00005051888,0.00001999417,3.835537e-7,0.000006104643,0.0001011216,0.000002124933,0.00001201406,0.000228827,0.9975296,0.002043754],"study_design_scores_gemma":[0.000006720203,0.0000116327,0.001890825,0.0003066148,0.00000309816,0.00005314331,0.001298195,0.0000216678,0.00005630504,0.0003295324,0.9960099,0.00001220394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0005783686,0.1189737,0.0002071289,0.7869378,0.04852512,0.00006186619,0.0005429316,0.0001232459,0.04404978],"genre_scores_gemma":[0.02134751,0.09581751,0.0005586051,0.1985004,0.03033486,0.0002287609,0.0006502378,0.0002314096,0.6523308],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07213296,"threshold_uncertainty_score":0.186228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07820370404115204,"score_gpt":0.2388808928116852,"score_spread":0.1606771887705331,"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."}}