{"id":"W2596653210","doi":"10.33137/rr.v34i1-2.16182","title":"Giddens, Eugene. How to Read a Shakespearean Play Text","year":2011,"lang":"tr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Art; Literature; Psychology; History; 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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002505411,0.0006010991,0.0005576993,0.0005128335,0.001688139,0.0003047325,0.0007120069,0.0002505345,0.01001681],"category_scores_gemma":[0.00004727056,0.0006724056,0.0003520886,0.0002460926,0.0003616507,0.0007579274,0.0002902208,0.0003463627,0.001930783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182574,"about_ca_system_score_gemma":0.00008721829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01947221,"about_ca_topic_score_gemma":0.145235,"domain_scores_codex":[0.997167,0.0001448384,0.0003452368,0.0008306493,0.0005065554,0.001005721],"domain_scores_gemma":[0.9979388,0.00010939,0.0002055874,0.0006990877,0.0003519981,0.0006951441],"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":[0.0005959444,0.0002685426,0.0004592489,0.00008306745,0.0003314273,0.00245011,0.1710816,0.000004265854,0.00009431967,0.5225109,0.2899161,0.01220452],"study_design_scores_gemma":[0.001063464,0.0004977298,0.003425306,0.0001825864,0.0003137748,0.0001599041,0.04197125,0.0001001058,0.00009348798,0.001388585,0.9499801,0.0008237444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4806584,0.03372496,0.0002098288,0.02773888,0.002066081,0.001227014,0.001110994,0.0005791034,0.4526848],"genre_scores_gemma":[0.5140548,0.001404404,0.0008282801,0.001152896,0.001010013,0.00001110756,0.00008568385,0.0001073311,0.4813455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.660064,"threshold_uncertainty_score":0.9996116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336939670446498,"score_gpt":0.166629066674449,"score_spread":0.143259669969984,"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."}}