{"id":"W7128982814","doi":"","title":"Codification of French legal terminology in France and Quebec: Comparative Analysis","year":2025,"lang":"fr","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Strengths and weaknesses; Context (archaeology); Presentation (obstetrics); French; Legal translation; Legislature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00638,0.0003314739,0.0004750754,0.01515328,0.007377424,0.007744133,0.001276287,0.0007747503,0.004879556],"category_scores_gemma":[0.01703345,0.0002323363,0.000457674,0.02309564,0.004329678,0.00309058,0.002377146,0.001030985,0.0002322818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1020697,"about_ca_system_score_gemma":0.0367683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9684677,"about_ca_topic_score_gemma":0.9747935,"domain_scores_codex":[0.9952397,0.001522706,0.0003339316,0.0004351715,0.001873327,0.0005950007],"domain_scores_gemma":[0.9826104,0.00605802,0.001343394,0.0005843714,0.009008962,0.000394748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003283781,0.0001220673,0.1059313,0.001077276,0.0001435455,0.002001198,0.4636569,0.002163653,0.003226955,0.1368139,0.01613654,0.2683984],"study_design_scores_gemma":[0.00002477092,0.00006826744,0.3908556,0.001609212,0.0001155219,0.0008077691,0.3455619,0.003357325,0.001928159,0.003359663,0.2521519,0.0001599011],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8747774,0.009304064,0.004988304,0.003604264,0.00008137088,0.0002089324,0.001965497,0.00009814275,0.104972],"genre_scores_gemma":[0.9818447,0.002669466,0.003923636,0.0002056426,0.00001414764,0.00008679286,0.001374499,0.00004132827,0.009839738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020697,"threshold_uncertainty_score":0.740571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532170175068545,"score_gpt":0.2606512032053471,"score_spread":0.2453295014546616,"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."}}