{"id":"W2984851633","doi":"10.1093/library/13.2.210","title":"<i>Inns of Court</i> . Ed. by A <scp>lan</scp> H. N <scp>elson</scp> and J <scp>ohn</scp> R. E <scp>lliott</scp> , J <scp>r</scp> . <i>Inns of Court</i> . Ed. by NelsonAlan H. and ElliottJohn R.Jr. <scp>i</scp> : <i>The Records</i> ; <scp>ii</scp> : <i>Appendixes</i> ; <scp>iii</scp> : <i>Translations Endnotes Glossaries Indexes</i> . (Records of Early English Drama, 23.) Cambridge: D. S. Brewer; Toronto: University of Toronto. 2010. 3 vols (xcix + 1064 pp). £195. <scp>isbn</scp> 978 1 84384 259 0.","year":2012,"lang":"en","type":"article","venue":"The Library","topic":"Medieval Literature and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drama; History; Library science; Classics; Art; Computer science; Literature","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.006354835,0.006945144,0.008836274,0.001480288,0.005619761,0.00262498,0.008710488,0.004464208,0.0002252124],"category_scores_gemma":[0.00944083,0.006553659,0.00358539,0.002779878,0.01034185,0.0134323,0.00389334,0.006868627,0.0003609039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009383071,"about_ca_system_score_gemma":0.002870373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088419,"about_ca_topic_score_gemma":0.004790355,"domain_scores_codex":[0.9668866,0.004081917,0.007817675,0.005764541,0.006525199,0.008924033],"domain_scores_gemma":[0.930302,0.0466243,0.008827421,0.00661418,0.003133229,0.004498895],"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":[0.00006577609,0.003389038,0.01241731,0.002265415,0.002941757,0.0001277601,0.1295068,0.00005655668,0.008854425,0.008070169,0.8315879,0.0007170698],"study_design_scores_gemma":[0.007631166,0.002984549,0.003858697,0.001624313,0.003608925,0.0002468536,0.07313063,0.0002339484,0.02360651,0.001084327,0.8814749,0.0005151437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5525892,0.2130268,0.0003298987,0.0005018801,0.008278565,0.006713363,0.02735497,0.001837468,0.1893679],"genre_scores_gemma":[0.411781,0.1430268,0.002354359,0.007908935,0.01480165,0.0009559944,0.01217532,0.00356847,0.4034276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2140597,"threshold_uncertainty_score":0.9989031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007588838359804517,"score_gpt":0.186408092950283,"score_spread":0.1788192545904785,"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."}}