{"id":"W2913063409","doi":"10.16995/dscn.309","title":"“Fearful Dreams” in Thomas Kyd’s Restored Canon","year":2019,"lang":"fr","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Order (exchange); Tragedy (event); Literature; Philosophy","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009330541,0.0004827638,0.0007176735,0.000176944,0.000219349,0.0004688994,0.0007476732,0.0003140446,0.00003485196],"category_scores_gemma":[0.0004979327,0.0005014661,0.0002135634,0.0009712423,0.0003001157,0.001713741,0.0009338115,0.0006455054,0.0008997854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005202478,"about_ca_system_score_gemma":0.0004692524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004361891,"about_ca_topic_score_gemma":0.0009081282,"domain_scores_codex":[0.9965946,0.000290976,0.0006755473,0.0009611237,0.0004563423,0.001021378],"domain_scores_gemma":[0.9980606,0.0004258289,0.0002381267,0.0007345904,0.0003135927,0.0002272478],"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":[0.0001948658,0.0009236801,0.1071752,0.000927433,0.0004553532,0.0007192082,0.7120006,0.0008437678,0.0003007922,0.09124669,0.01750957,0.06770284],"study_design_scores_gemma":[0.003113609,0.0008024609,0.01136827,0.001793674,7.923707e-7,0.0001814108,0.2495124,0.007031078,0.003191729,0.05960492,0.6610873,0.002312299],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8167489,0.04774198,0.01336365,0.03246015,0.007990094,0.001228781,0.0001368793,0.0003372426,0.0799923],"genre_scores_gemma":[0.9450586,0.0008116663,0.0001068931,0.0004794964,0.0003112415,0.00004195199,0.00003160598,0.00003854958,0.05311993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6435778,"threshold_uncertainty_score":0.9998781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05566505186161563,"score_gpt":0.2965589186432224,"score_spread":0.2408938667816067,"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."}}