{"id":"W3099731648","doi":"10.4000/studifrancesi.8811","title":"‘Qui tant savoit d’engin et d’art’. Mélanges de philologie médiévale offerts à Gabriel Bianciotto. Textes réunis et publiés par Claudio Galderisi et Jean Maurice","year":2008,"lang":"fr","type":"article","venue":"Studi Francesi","topic":"Medieval European Literature and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society for Italian Studies","funders":"","keywords":"Humanities; 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":["insufficient_payload"],"category_scores_codex":[0.0015794,0.0008483289,0.00103464,0.0003022241,0.001431053,0.0004385675,0.000683853,0.0002980964,0.003492975],"category_scores_gemma":[0.0005030531,0.0007827645,0.0004021987,0.000249804,0.001632189,0.0009659433,0.0002424531,0.0013909,0.001125542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910248,"about_ca_system_score_gemma":0.0005245854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005748036,"about_ca_topic_score_gemma":0.001486852,"domain_scores_codex":[0.9949576,0.001141318,0.0008462424,0.001000917,0.0007467833,0.001307124],"domain_scores_gemma":[0.9971848,0.0007951615,0.0004217869,0.0008260914,0.0003767145,0.0003955193],"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":[0.0001416279,0.0005972748,0.001841145,0.0004833369,0.0003043353,0.0009680715,0.06173636,0.00004825011,0.0001601121,0.1283703,0.8037764,0.001572742],"study_design_scores_gemma":[0.001096111,0.0005835476,0.006957165,0.0005157384,0.000169462,0.0001055366,0.003140586,0.00003169349,0.00007622546,0.001005815,0.9853865,0.0009316423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02905324,0.2461558,0.000302855,0.04691474,0.008054655,0.0008395805,0.0008329982,0.0004900316,0.6673561],"genre_scores_gemma":[0.4911502,0.04893011,0.0008353406,0.02678546,0.004502825,0.0001083086,0.000205105,0.0002494501,0.4272332],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.462097,"threshold_uncertainty_score":0.9998689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207765516147137,"score_gpt":0.2596783096323056,"score_spread":0.2176006544708343,"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."}}