{"id":"W3011843834","doi":"10.7202/1067285ar","title":"Écrire le monde, écrire l’histoire : L’empreinte de l’ange de Nancy Huston revisité","year":2019,"lang":"fr","type":"article","venue":"Eurostudia","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004240902,0.0003662307,0.0005410999,0.00004475358,0.001797929,0.00009408389,0.0005157061,0.0002249773,0.0007149132],"category_scores_gemma":[0.0002767375,0.000343017,0.00034859,0.0006556861,0.0007220192,0.0003198419,0.0003108228,0.0004384671,0.002871464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133901,"about_ca_system_score_gemma":0.0002282935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009958321,"about_ca_topic_score_gemma":0.0009984663,"domain_scores_codex":[0.9971836,0.0003446286,0.0003418045,0.0006047607,0.0004838929,0.001041312],"domain_scores_gemma":[0.9988854,0.0001204847,0.0001862598,0.0002886322,0.0001819286,0.0003372903],"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":[0.00009826095,0.0005485492,0.01893041,0.0005134991,0.0002923271,0.0003596576,0.05801242,0.00003608858,0.002618686,0.3391565,0.4560931,0.1233405],"study_design_scores_gemma":[0.0004499108,0.0001454049,0.01367606,0.0002536736,0.0001097609,0.000006175899,0.004520164,0.00001631686,0.00005156931,0.0004831993,0.979834,0.0004537254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08070839,0.118251,0.00001130177,0.02814581,0.007174993,0.0005607168,0.00006323813,0.0002030313,0.7648815],"genre_scores_gemma":[0.5653941,0.01115967,0.00008829703,0.001053893,0.0007849379,0.00001705565,0.000004394989,0.00002882719,0.4214689],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5237409,"threshold_uncertainty_score":0.9999022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215536997540638,"score_gpt":0.2454182787643528,"score_spread":0.223864579010289,"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."}}