{"id":"W4409740786","doi":"10.1525/fmh.2025.11.2.1","title":"Editors’ Introduction","year":2025,"lang":"en","type":"article","venue":"Feminist Media Histories","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002071729,0.0001204897,0.0003181816,0.0002016382,0.0001679967,0.00002254586,0.0001305103,0.00007757989,0.0002608542],"category_scores_gemma":[0.00103891,0.0001380707,0.0000663507,0.0002835589,0.0001653727,0.00007352357,0.0000500096,0.000117841,0.0002963455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296616,"about_ca_system_score_gemma":0.00003642128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004704363,"about_ca_topic_score_gemma":0.00004339393,"domain_scores_codex":[0.9990873,0.000005045895,0.0003674938,0.0003087929,0.00003503654,0.0001963733],"domain_scores_gemma":[0.9994284,0.00009636695,0.0001221254,0.0002684244,0.00003607157,0.0000486002],"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":[0.00001069439,0.00002650746,0.01125321,0.00002705653,0.00002443025,0.000001446532,0.003351283,2.293375e-7,0.000009824646,0.2465856,0.7382876,0.0004221587],"study_design_scores_gemma":[0.0002143559,0.00001760873,0.002591324,0.000006433733,0.000008617472,9.659311e-7,0.0006362697,0.000002774961,0.000110134,0.01186209,0.9844255,0.000123876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009587934,0.02302268,0.001048757,0.04062537,0.3030008,0.0003334615,0.000184466,0.000330953,0.6218656],"genre_scores_gemma":[0.8589667,0.0005433952,0.001123905,0.0008199323,0.04861423,0.0001713809,0.00008594197,0.00003491706,0.08963957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8493788,"threshold_uncertainty_score":0.563036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150851028714968,"score_gpt":0.2129805168580851,"score_spread":0.1978954139865883,"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."}}