{"id":"W2767868555","doi":"10.7202/1041086ar","title":"Julien Prévieux. Le reenactment ou l’art de déjouer les codes","year":2017,"lang":"fr","type":"article","venue":"Intermédialités Histoire et théorie des arts des lettres et des techniques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.002209301,0.0006691071,0.0002259808,0.001310875,0.006484343,0.007549713,0.001013901,0.001839302,0.01658401],"category_scores_gemma":[0.006877059,0.0002494915,0.0002823669,0.00102285,0.01722461,0.005034904,0.004519456,0.003059403,0.003287159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005374826,"about_ca_system_score_gemma":0.00428071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02678483,"about_ca_topic_score_gemma":0.04917925,"domain_scores_codex":[0.997598,0.0009385137,0.00005928297,0.0003634455,0.000688923,0.0003519258],"domain_scores_gemma":[0.9975712,0.0008440007,0.0002194599,0.0005036164,0.0005100237,0.0003517182],"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":[0.000103213,0.00002480881,0.001886799,0.0001988592,0.00001140293,0.0004523402,0.2775861,0.0002613401,0.003553047,0.6126777,0.01499755,0.08824688],"study_design_scores_gemma":[0.000009037646,0.00006102003,0.002046898,0.000273681,0.00001035855,0.0004102563,0.07697679,0.0003738169,0.002188418,0.02349841,0.8941139,0.00003736281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1896991,0.003738052,0.03754177,0.01956346,0.001837729,0.0001250996,0.0001997115,0.0003583525,0.7469368],"genre_scores_gemma":[0.6759641,0.001304515,0.008442704,0.001271899,0.0002039929,0.00008052681,0.0001094265,0.0003985014,0.3122242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02678483,"threshold_uncertainty_score":0.05547905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.148588364203853,"score_gpt":0.348387393545816,"score_spread":0.1997990293419629,"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."}}