{"id":"W4230934774","doi":"10.1108/978-1-83982-848-520211059","title":"Prelims","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Hong Kong","keywords":"Publishing; Emerald; Library science; License; Subject (documents); Political science; History; Media studies; Law; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0021737,0.001424678,0.0009937775,0.003343021,0.004027171,0.008672611,0.002592996,0.003093057,0.6524171],"category_scores_gemma":[0.008478951,0.0006772027,0.001200032,0.004073149,0.001315876,0.006886024,0.006436916,0.002816468,0.5681551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00319318,"about_ca_system_score_gemma":0.005800764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009694357,"about_ca_topic_score_gemma":0.01441909,"domain_scores_codex":[0.9972097,0.0004355318,0.0002091227,0.00052638,0.001274393,0.0003449074],"domain_scores_gemma":[0.9964969,0.0003816244,0.0001678557,0.0005243645,0.0018584,0.0005709074],"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":[0.00002132249,0.00001520822,0.0001218328,0.0001702101,0.000002074892,0.00005218664,0.0001472849,0.00001705015,0.00008315156,0.008371123,0.9444142,0.04658443],"study_design_scores_gemma":[0.000002112201,0.000004415272,0.0001074807,0.00006807543,9.250456e-7,0.00003729362,0.00008290609,0.000008538495,0.00004002006,0.0006520742,0.9989929,0.000003239756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008508315,0.004436248,0.002636034,0.009008337,0.02147656,0.0003041505,0.01050539,0.002738796,0.9480436],"genre_scores_gemma":[0.003973691,0.002702391,0.001376969,0.00459199,0.001924711,0.0002333502,0.007230976,0.001481896,0.9764841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6524171,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05181466371691641,"score_gpt":0.2984259201604064,"score_spread":0.24661125644349,"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."}}