{"id":"W4391312751","doi":"10.33137/rr.v41i4.32451","title":"Exploring Verbal Relations between <i>Arden of Faversham</i> and John Lyly’s <i>Endymion</i>","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001076524,0.0003125903,0.0004548493,0.0003322216,0.0004977934,0.000155036,0.0004407987,0.0002451665,0.00003501559],"category_scores_gemma":[0.00009161024,0.0002734966,0.0001181029,0.0006658393,0.000141716,0.003273615,0.0002945489,0.0002774716,0.0001877801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400036,"about_ca_system_score_gemma":0.00009779482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005244355,"about_ca_topic_score_gemma":0.00001309706,"domain_scores_codex":[0.9974366,0.0001764107,0.0007730712,0.0005212181,0.0005953693,0.0004973141],"domain_scores_gemma":[0.9982917,0.0001615214,0.0004966734,0.0006085881,0.0002157163,0.0002257936],"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":[0.0002411282,0.0002458217,0.02707562,0.001605568,0.0004530813,0.00002014276,0.0350625,0.002339447,0.1543571,0.6458657,0.00824866,0.1244853],"study_design_scores_gemma":[0.005381231,0.0009140919,0.4085895,0.002057908,0.0002254509,0.0001208886,0.0004720802,0.0763245,0.03516915,0.007633597,0.4605804,0.00253122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063181,0.00308646,0.07254792,0.001320627,0.0009212385,0.0007221887,0.00006156251,0.0003339515,0.01468796],"genre_scores_gemma":[0.9952232,0.0008237927,0.00281186,0.00005369429,0.0001878531,0.00003111364,0.0001008808,0.00002104161,0.0007466124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6382321,"threshold_uncertainty_score":0.9999717,"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."}}