{"id":"W2902844232","doi":"","title":"Translatio. Traduire et adapter les Anciens","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Adapter (computing); Art; Computer science; Operating system","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":[0.001468232,0.00205995,0.0006382096,0.002244102,0.003096804,0.005918224,0.0009406623,0.002060781,0.1347422],"category_scores_gemma":[0.008339871,0.0006545095,0.0009011552,0.002075948,0.002448002,0.005649195,0.003172096,0.004941046,0.08230317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196792,"about_ca_system_score_gemma":0.002303986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008544896,"about_ca_topic_score_gemma":0.006394689,"domain_scores_codex":[0.997962,0.0008963729,0.0001580435,0.0003450846,0.0005048059,0.0001338279],"domain_scores_gemma":[0.9971404,0.001081081,0.0001585995,0.0004205378,0.001099244,0.000100173],"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":[0.0003909876,0.0001045246,0.0005016975,0.001059625,0.00004105427,0.001541624,0.02321722,0.0003789855,0.0104264,0.1809728,0.6237302,0.1576348],"study_design_scores_gemma":[0.00001946153,0.00002077567,0.0005358773,0.0001627844,0.00001219028,0.0004741363,0.002520314,0.0002831572,0.001752856,0.007320977,0.9868737,0.00002370227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01694789,0.00900294,0.0603641,0.04804798,0.04973361,0.0005172925,0.01240075,0.006082226,0.7969032],"genre_scores_gemma":[0.1348087,0.006707125,0.02772117,0.006469197,0.01119019,0.0007356374,0.008871274,0.0127344,0.7907624],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1347422,"threshold_uncertainty_score":0.4507574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157885239768237,"score_gpt":0.2492242201966475,"score_spread":0.2176453677989652,"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."}}