{"id":"W4389382032","doi":"10.1515/9781805391784-fm","title":"Frontmatter","year":2023,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001952217,0.0007151639,0.0005964214,0.001151495,0.001446238,0.004401224,0.0009135911,0.001737172,0.8990237],"category_scores_gemma":[0.0007885074,0.0004092274,0.0004048983,0.001022352,0.0003480038,0.002987407,0.002326555,0.00152482,0.8126467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007741846,"about_ca_system_score_gemma":0.0005176024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699473,"about_ca_topic_score_gemma":0.005416152,"domain_scores_codex":[0.9997566,0.00001953397,0.00001007857,0.00006406128,0.0001145241,0.00003506257],"domain_scores_gemma":[0.9996872,0.00004459022,0.00001629586,0.00004209495,0.0001173662,0.00009237431],"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":[0.00003300898,0.00003289393,0.0001304602,0.0001276577,0.000002006866,0.0001054664,0.00013341,0.00003816571,0.0004412738,0.008261179,0.8286596,0.1620347],"study_design_scores_gemma":[0.000002349469,0.000006460034,0.0001350817,0.00003956609,6.286519e-7,0.00006516556,0.00004899244,0.00002047276,0.00006640617,0.0004916823,0.999121,0.000002183423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002894251,0.001021308,0.0003152085,0.0006821108,0.001185557,0.00002813155,0.000606943,0.0005736835,0.9952977],"genre_scores_gemma":[0.0005636742,0.0002382964,0.00009140033,0.0001849914,0.00006722422,0.000006695258,0.0001489551,0.0001138481,0.998585],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1009763,"threshold_uncertainty_score":0.1440305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06235957083163771,"score_gpt":0.2917163553762096,"score_spread":0.2293567845445719,"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."}}