{"id":"W1979139106","doi":"10.3917/ling.372.0135","title":"Histoire d'une traduction : Funeral Blues de W. H. Auden","year":2002,"lang":"en","type":"article","venue":"La linguistique","topic":"French Literature and Poetry","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Blues; Poetry; Stylistics; Terminology; Literature; Selection (genetic algorithm); Art; Philosophy; Linguistics; Art history; Computer science; Artificial intelligence","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":[0.0009103323,0.0004878395,0.0002095256,0.001015137,0.003296443,0.002723485,0.0003138961,0.0009779097,0.009751333],"category_scores_gemma":[0.002305262,0.0001243822,0.0001825442,0.0007602249,0.004287532,0.00151463,0.0008919592,0.001862955,0.00142264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343188,"about_ca_system_score_gemma":0.000867327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0135544,"about_ca_topic_score_gemma":0.01629332,"domain_scores_codex":[0.9993331,0.0004001649,0.0000139834,0.0000655401,0.000123111,0.00006424125],"domain_scores_gemma":[0.9995682,0.000227726,0.00003711394,0.00002744288,0.0001035252,0.00003603538],"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":[0.00009479894,0.00003072287,0.0004932371,0.0002201055,0.000007729663,0.0008599116,0.04654534,0.0003160977,0.001199718,0.6861547,0.186582,0.07749557],"study_design_scores_gemma":[0.000002109114,0.000009899751,0.0003907687,0.00006507705,9.079788e-7,0.0002079271,0.00284259,0.00005980132,0.000200619,0.005950065,0.9902648,0.000005429668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05094537,0.05151106,0.01249246,0.08078885,0.02367484,0.00006823539,0.0003266459,0.0002959844,0.7798966],"genre_scores_gemma":[0.4842306,0.01413139,0.003784802,0.007132759,0.004615828,0.00008180099,0.0001198471,0.00025839,0.4856446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0135544,"threshold_uncertainty_score":0.03262144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612902763402991,"score_gpt":0.2217843113136867,"score_spread":0.2056552836796568,"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."}}