{"id":"W7108213247","doi":"10.3138/9781487558789","title":"The Candidacy Calculation","year":2025,"lang":"","type":"book","venue":"University of Toronto Press eBooks","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Candidacy; Politics; Diversity (politics); Harassment; Perception; Process (computing)","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":[0.0005405498,0.0004489868,0.0002818771,0.001865868,0.006936052,0.007237726,0.00119781,0.0008351682,0.01852906],"category_scores_gemma":[0.002807861,0.0002270862,0.0002854153,0.003213373,0.00376734,0.001966714,0.001988555,0.002153584,0.002137022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02181505,"about_ca_system_score_gemma":0.02943281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6781727,"about_ca_topic_score_gemma":0.7974318,"domain_scores_codex":[0.9985195,0.00009307898,0.00001847452,0.00008806105,0.001009117,0.0002717435],"domain_scores_gemma":[0.9991075,0.0001566912,0.00003063439,0.00004598548,0.0004082818,0.0002508216],"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":[0.00002404567,0.00001821487,0.002529573,0.00008856133,0.000004492787,0.0001932293,0.007789664,0.0003474658,0.0003117148,0.279025,0.5427191,0.166949],"study_design_scores_gemma":[0.000002353237,0.0000102939,0.003219389,0.00008829233,0.000003346915,0.0001134617,0.00493875,0.0001865598,0.0001468933,0.00579259,0.9854864,0.00001175321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01483882,0.006616688,0.002515614,0.009612376,0.002878012,0.00009309799,0.0005624506,0.0002374708,0.9626455],"genre_scores_gemma":[0.1843807,0.006161175,0.002169798,0.002206467,0.0002998134,0.00008142117,0.0007879387,0.0002081402,0.8037045],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3218273,"threshold_uncertainty_score":0.6474452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255567932495903,"score_gpt":0.2682100698750424,"score_spread":0.2426532766254521,"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."}}