{"id":"W4385990485","doi":"10.1353/cdr.2023.a904535","title":"\"The Isle Is Full of Noises\": the Many Tempests of Margaret Atwood's Hag-Seed","year":2023,"lang":"en","type":"article","venue":"Comparative drama","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drama; Adaptation (eye); Literature; Ideology; Paratext; Art; Antecedent (behavioral psychology); Hypertext; History; Computer science; Psychology; Physics; Law; Political science; Optics; Social psychology; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004200001,0.0003321033,0.0001128159,0.0002471153,0.006718717,0.003625545,0.0005183811,0.001032972,0.01245376],"category_scores_gemma":[0.001282873,0.0001516078,0.00008625806,0.0002402428,0.003522297,0.001868169,0.002495237,0.003338646,0.002265841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002574512,"about_ca_system_score_gemma":0.001111911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450284,"about_ca_topic_score_gemma":0.1174126,"domain_scores_codex":[0.9996761,0.0001461681,0.000003924883,0.00004888843,0.000074711,0.00005015366],"domain_scores_gemma":[0.9997155,0.00008070779,0.000020579,0.00001929054,0.00004495206,0.0001189584],"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":[0.00006016271,0.00002291416,0.001027252,0.00008525572,0.000005206026,0.00098425,0.09509927,0.00005610061,0.0008472405,0.04969701,0.816675,0.03544033],"study_design_scores_gemma":[0.000003320791,0.00001418805,0.001661473,0.00009842281,0.000003136793,0.0004036801,0.03624852,0.00003763019,0.0002866211,0.001778352,0.9594557,0.000009141782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08322044,0.02115344,0.001821848,0.14335,0.01196087,0.0000588039,0.0001966053,0.0003388636,0.7378991],"genre_scores_gemma":[0.4269527,0.005220479,0.0008241793,0.01992829,0.001396022,0.00004515551,0.0001026002,0.000362034,0.5451685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02450284,"threshold_uncertainty_score":0.04872042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06983892964895881,"score_gpt":0.2864283360425596,"score_spread":0.2165894063936008,"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."}}