{"id":"W4391312345","doi":"10.33137/rr.v42i1.32862","title":"Estill, Laura, ed. World Shakespeare Bibliography. Database","year":2019,"lang":"en","type":"article","venue":"Renaissance and Reformation","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliography; History; Database; Art; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001043323,0.001759088,0.002144372,0.01707831,0.001209734,0.007063839,0.002395384,0.001473912,0.1860578],"category_scores_gemma":[0.00583902,0.000794121,0.0006858145,0.02226686,0.0009795906,0.00770927,0.002330655,0.001924676,0.2361217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222726,"about_ca_system_score_gemma":0.004067037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182611,"about_ca_topic_score_gemma":0.01793022,"domain_scores_codex":[0.9985535,0.0001344867,0.000321129,0.0002657575,0.0006319301,0.00009319584],"domain_scores_gemma":[0.9967737,0.0007883762,0.0002817193,0.0003077334,0.001485066,0.0003634153],"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":[0.0000135085,0.000006509249,0.0001661495,0.001077011,0.000006088826,0.00006140876,0.0001090816,0.00003795245,0.00005102918,0.001468408,0.8523853,0.1446175],"study_design_scores_gemma":[0.00000132861,0.000001805499,0.0002738462,0.00078004,0.000002736381,0.00008795365,0.00004596094,0.000006500804,0.00001409817,0.0004014059,0.9983809,0.000003343485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"dataset","genre_scores_codex":[0.0004193729,0.6714929,0.001759049,0.008168077,0.01075024,0.0001354781,0.02515736,0.001717973,0.2803997],"genre_scores_gemma":[0.004364077,0.552469,0.00430578,0.004712632,0.005253499,0.0003053801,0.04739056,0.0008143804,0.3803847],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1860578,"threshold_uncertainty_score":0.6224254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095718162723511,"score_gpt":0.2327461543242937,"score_spread":0.2117889726970586,"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."}}