{"id":"W4399181859","doi":"10.1515/9781805392026-fm","title":"Frontmatter","year":2024,"lang":"en","type":"book-chapter","venue":"Berghahn Books","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003090525,0.0003146685,0.0003481085,0.0001335442,0.0002277446,0.0001222342,0.0003630106,0.0006076703,0.01190503],"category_scores_gemma":[0.00002013355,0.0003071498,0.000284402,0.00001562582,0.0003630928,0.00005360755,0.0001007816,0.0005149273,0.02090073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557984,"about_ca_system_score_gemma":0.0004393531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002937851,"about_ca_topic_score_gemma":0.001736007,"domain_scores_codex":[0.9981719,0.00001864351,0.0002857393,0.0004796861,0.000617979,0.0004260587],"domain_scores_gemma":[0.9991264,0.00007436604,0.00009769763,0.0003609153,0.00006253899,0.0002780361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002801416,0.000003561611,0.000003341189,0.00002898872,0.00005905541,0.00006991663,0.01024312,3.860269e-8,0.000003885148,0.5078341,0.4778304,0.003920716],"study_design_scores_gemma":[0.00007246382,0.00001572005,0.000004702578,0.0001260735,0.0001042702,0.000002534996,0.0009298055,2.187317e-7,0.000007646043,0.1211207,0.8773012,0.0003146747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001547341,0.002524887,0.00001027182,0.001353045,0.003527551,0.0002926195,0.00004358019,0.0002580608,0.9919745],"genre_scores_gemma":[0.001986258,0.0001561376,0.00006699665,0.001183333,0.002900963,0.0000190353,0.00002678931,0.0000905415,0.99357],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3994708,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845161499859942,"score_gpt":0.2850507691051525,"score_spread":0.2465991541065531,"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."}}