{"id":"W3088167912","doi":"10.4000/elfe.2562","title":"De mémoire vulnérable : le massacre des Sioux dans Tristesse de la terre d’Éric Vuillard","year":2020,"lang":"fr","type":"article","venue":"ELFe XX-XXI","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Art","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005416318,0.0002747994,0.0003931149,0.00002180885,0.002027124,0.0002141234,0.0004753215,0.0002771395,0.001001043],"category_scores_gemma":[0.0006157378,0.000248621,0.0002434123,0.0007902131,0.00133347,0.0003431811,0.0002040537,0.0003846585,0.0005310761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100185,"about_ca_system_score_gemma":0.0003596268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334159,"about_ca_topic_score_gemma":0.001633478,"domain_scores_codex":[0.9974834,0.0006036919,0.0002612756,0.000415127,0.0004081257,0.0008284083],"domain_scores_gemma":[0.9988215,0.0002839018,0.0001140451,0.0001266002,0.0001038714,0.000550081],"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":[0.0001352608,0.0006754881,0.02421433,0.0005057408,0.000377552,0.0006106763,0.2319116,0.0003117187,0.002432828,0.1563447,0.487776,0.09470412],"study_design_scores_gemma":[0.0004059689,0.0001205648,0.003054341,0.00007230791,0.0001087543,0.000007057447,0.0279069,0.0001352431,0.0001345146,0.005556425,0.9621407,0.00035718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06703352,0.03695191,0.0005754486,0.03739325,0.001034601,0.0002852353,0.00007356067,0.0002665125,0.8563859],"genre_scores_gemma":[0.9015445,0.003914327,0.001100915,0.001116022,0.001167142,0.00002380704,0.000006258155,0.0000281088,0.09109896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8345109,"threshold_uncertainty_score":0.9999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03511084708812072,"score_gpt":0.2677739632460909,"score_spread":0.2326631161579701,"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."}}