{"id":"W4284988841","doi":"10.4000/traduire.2863","title":"Faut-il craindre l’interprétation automatique ? De la fiction à la réalité, le point sur les « traducteurs électroniques »","year":2022,"lang":"fr","type":"article","venue":"Traduire","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Historical Studies in Education","funders":"","keywords":"Philosophy; Humanities","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":[0.0009932504,0.0002667618,0.0002704993,0.0001065336,0.001860249,0.000393507,0.0001627162,0.0001157862,0.002543156],"category_scores_gemma":[0.00002943469,0.0002969057,0.0002095665,0.00008810876,0.0003783167,0.0008677995,0.00003231207,0.0006880028,0.00001248149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991873,"about_ca_system_score_gemma":0.0002263298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008884259,"about_ca_topic_score_gemma":0.001358928,"domain_scores_codex":[0.9970472,0.001565107,0.0004111427,0.000318174,0.0002806722,0.0003777387],"domain_scores_gemma":[0.9987652,0.0006893672,0.0002374512,0.0001701499,0.00006632932,0.00007153361],"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":[0.000141161,0.0005172985,0.0002190615,0.0002656259,0.0002300658,0.00003549064,0.1055999,0.0004419239,0.0001809609,0.6641624,0.0319173,0.1962888],"study_design_scores_gemma":[0.0005527343,0.0002674147,0.003632761,0.00006958086,0.000115598,0.0001136027,0.01947385,0.002477257,0.0001056939,0.007267917,0.9656054,0.0003182192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2379039,0.06877097,0.00404428,0.176528,0.002272058,0.0009997063,0.001158473,0.001123015,0.5071996],"genre_scores_gemma":[0.9845468,0.005391655,0.0001667031,0.0003204135,0.0004740865,0.0001188601,0.00007795546,0.00005654647,0.008846956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9336881,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501700505005467,"score_gpt":0.2688779359650202,"score_spread":0.2438609309149655,"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."}}