{"id":"W2073305912","doi":"10.7202/002363ar","title":"Dictionnaire multilingue de médecine — vers une dictionnairique d'apprentissage","year":2002,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623748,0.0003496874,0.0004302352,0.002130033,0.001891954,0.006892174,0.0005294383,0.0007936573,0.008802984],"category_scores_gemma":[0.0052839,0.0002815784,0.0002430476,0.004073429,0.004213209,0.003383626,0.00186711,0.002194938,0.002571538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631023,"about_ca_system_score_gemma":0.004028778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335289,"about_ca_topic_score_gemma":0.01810887,"domain_scores_codex":[0.9980185,0.0008982748,0.0003193576,0.0002345024,0.0004439422,0.00008554971],"domain_scores_gemma":[0.9958644,0.002019932,0.0005081792,0.0005519465,0.0008423228,0.0002132302],"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":[0.0001682691,0.00002698112,0.004998864,0.001135201,0.00004569326,0.0004068941,0.02633629,0.0005255144,0.003789145,0.7904281,0.03447549,0.1376637],"study_design_scores_gemma":[0.00001271867,0.0000335099,0.006649755,0.0005149508,0.00001480866,0.0006394153,0.004843249,0.0004312392,0.001586538,0.03146582,0.9537794,0.00002859949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09279246,0.06822051,0.132273,0.0617854,0.004287321,0.0002413585,0.004899002,0.000853824,0.6346471],"genre_scores_gemma":[0.7023761,0.02746226,0.1247055,0.006726624,0.001597719,0.0002519723,0.003170704,0.0005796194,0.1331296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01335289,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03870827258379825,"score_gpt":0.2490116662329736,"score_spread":0.2103033936491754,"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."}}