{"id":"W7128601113","doi":"10.4000/15nmz","title":"Anglo-Saxon Microcosm vs. Latin Macrocosm: Shakespeare’s Defence of Poesy in Monosyllables in Love’s Labour’s Lost","year":2025,"lang":"en","type":"article","venue":"Revue de la Société française Shakespeare","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Historical Studies in Education","funders":"","keywords":"Focus (optics); Power (physics); Poetry; Latin Americans; Literary criticism","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"],"consensus_categories":[],"category_scores_codex":[0.001398919,0.000351075,0.0006587778,0.0004853521,0.00008496057,0.0001535866,0.001262839,0.0004388794,0.0002438034],"category_scores_gemma":[0.0003777828,0.0003965529,0.0002026427,0.00225381,0.0001608621,0.0003935825,0.0003838364,0.0007895581,0.0001774142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888501,"about_ca_system_score_gemma":0.0004055297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005679515,"about_ca_topic_score_gemma":0.0007015428,"domain_scores_codex":[0.9968629,0.0005369535,0.0008361599,0.0007402273,0.0002787475,0.000745022],"domain_scores_gemma":[0.9980357,0.0006766108,0.0002532482,0.0007177268,0.0001724725,0.000144198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004127925,0.0009980651,0.6405571,0.002901014,0.0001140581,0.0007567447,0.03558832,0.002808251,0.01422781,0.230183,0.00528077,0.06617203],"study_design_scores_gemma":[0.01056804,0.0003941016,0.6168193,0.007280339,0.0000843817,0.0001142714,0.00599168,0.05366259,0.04452491,0.04685883,0.2106728,0.00302872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815169,0.01081119,0.04387612,0.009788613,0.0007056933,0.001648341,0.000225045,0.0002966406,0.05113148],"genre_scores_gemma":[0.988636,0.0002229403,0.007943159,0.0007214492,0.00006996375,0.00002694821,0.00001658034,0.00002707471,0.002335918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.205392,"threshold_uncertainty_score":0.9998487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268365453655502,"score_gpt":0.283753829688984,"score_spread":0.271070175152429,"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."}}