{"id":"W4384132856","doi":"10.18574/nyu/9781479813391.001.0001","title":"Gender Replay","year":2023,"lang":"en","type":"book","venue":"New York University Press eBooks","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004622635,0.0002652965,0.0003499119,0.0001778038,0.00100825,0.0001021661,0.001086735,0.0007774307,0.0002542255],"category_scores_gemma":[0.00004566364,0.0003528548,0.0002874866,0.00004823399,0.0003701364,0.0001223577,0.0004412068,0.0005716029,0.0003143358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006510254,"about_ca_system_score_gemma":0.002252944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169503,"about_ca_topic_score_gemma":0.001827311,"domain_scores_codex":[0.997673,0.0002940476,0.0001581676,0.0005959658,0.0007589125,0.000519944],"domain_scores_gemma":[0.9985455,0.0001638645,0.000212368,0.0005306635,0.0001131894,0.0004343738],"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":[0.00002622748,0.000006478142,0.00001002456,0.00002995848,0.00009870608,0.00007329026,0.01200597,0.00000252176,5.50466e-7,0.3524061,0.6344856,0.0008545595],"study_design_scores_gemma":[0.0003446174,0.00001630691,0.00003238348,0.00004222837,0.0001609417,4.396365e-7,0.002897595,0.000001092246,0.000004079526,0.004581333,0.991546,0.0003730257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001736224,0.00006498422,0.0001227528,0.00009777067,0.0008898678,0.0003446797,0.0001209618,0.0005832918,0.9977583],"genre_scores_gemma":[0.0001547934,0.0001190591,0.0001152786,0.0001387051,0.0006929667,1.877733e-7,0.00005538603,0.00002966679,0.9986939],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3570604,"threshold_uncertainty_score":0.9998924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.216671587228105,"score_gpt":0.2756554635779383,"score_spread":0.05898387634983329,"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."}}