{"id":"W4391312751","doi":"10.33137/rr.v41i4.32451","title":"Exploring Verbal Relations between &lt;i&gt;Arden of Faversham&lt;/i&gt; and John Lyly’s &lt;i&gt;Endymion&lt;/i&gt;","year":2019,"lang":"en","type":"article","venue":"Renaissance and Reformation","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","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":[0.002653018,0.0002609491,0.0002253611,0.003334956,0.006609466,0.005365471,0.000576659,0.0009661447,0.005365069],"category_scores_gemma":[0.02040303,0.0002469923,0.00008819739,0.003607533,0.009246916,0.004758238,0.003329296,0.00183237,0.0006563895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005621961,"about_ca_system_score_gemma":0.001378437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02746268,"about_ca_topic_score_gemma":0.0747494,"domain_scores_codex":[0.9968038,0.001683333,0.0001395607,0.0004788715,0.0006012297,0.0002933095],"domain_scores_gemma":[0.9796072,0.01572127,0.002319109,0.000900011,0.001103903,0.0003484958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004269396,0.00001120816,0.007995652,0.000067678,0.00000503952,0.0004175971,0.9387438,0.00002632163,0.0009816722,0.03693054,0.001636558,0.0131413],"study_design_scores_gemma":[0.000005605533,0.00003123988,0.02969892,0.0003272576,0.00001121626,0.0008326922,0.8449068,0.0002382834,0.001916358,0.005396792,0.1165979,0.00003700407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8776721,0.001566479,0.003172137,0.002146182,0.0002573861,0.0000393845,0.0001999816,0.00004014108,0.1149061],"genre_scores_gemma":[0.9905528,0.0003380082,0.0006519989,0.0001280563,0.00004182632,0.00002105122,0.0000731803,0.00003917627,0.008153937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02746268,"threshold_uncertainty_score":0.05460566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04570567797878732,"score_gpt":0.2510799556334145,"score_spread":0.2053742776546271,"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."}}