{"id":"W3211840452","doi":"","title":"En dialoguant avec Heiner Muller – Collage intertextuel autour de Hamlet-machine, scene 4, extrait par H. Muller","year":2018,"lang":"fr","type":"article","venue":"","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001315281,0.001471932,0.0005894099,0.001545667,0.005275836,0.006111478,0.0008264482,0.003333737,0.01600463],"category_scores_gemma":[0.004410457,0.0004288269,0.0005955444,0.001024709,0.003517203,0.004890139,0.002689791,0.005206354,0.005014382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069958,"about_ca_system_score_gemma":0.001082612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060736,"about_ca_topic_score_gemma":0.01539727,"domain_scores_codex":[0.9983131,0.0009184912,0.00003662871,0.0002452855,0.0003921965,0.00009420735],"domain_scores_gemma":[0.9990472,0.0006198552,0.00005387512,0.00004931333,0.0001315121,0.00009826488],"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":[0.0003179918,0.00007891256,0.0006144486,0.0005165144,0.0000546993,0.00182603,0.02852286,0.001075787,0.00446907,0.2945408,0.5966185,0.07136445],"study_design_scores_gemma":[0.00001131671,0.00001866735,0.0005595607,0.0001659496,0.000007842774,0.0007780513,0.003229401,0.0004486207,0.0013631,0.008570862,0.9848163,0.00003031546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03583814,0.2031981,0.08901519,0.2635531,0.103681,0.0001787723,0.001284796,0.002569672,0.3006813],"genre_scores_gemma":[0.3203004,0.04493451,0.03195202,0.02022947,0.03799579,0.0002622376,0.0007621692,0.003474788,0.5400886],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01600463,"threshold_uncertainty_score":0.05354077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175727153738625,"score_gpt":0.2728137908306205,"score_spread":0.2552410754567579,"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."}}