{"id":"W2898932866","doi":"10.1007/s11196-018-9592-7","title":"L’analyse comparée en traduction juridique, ses enjeux, sa nécessité","year":2018,"lang":"fr","type":"article","venue":"International Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique","topic":"Comparative and International Law Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Merge (version control); Legal translation; Target text; Legal culture; Law; Equivalence (formal languages); Sociology; Political science; Computer science; Linguistics; Philosophy; Artificial intelligence; Information retrieval","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"],"consensus_categories":[],"category_scores_codex":[0.003283303,0.0005672112,0.0007686876,0.0003890466,0.0009380762,0.0004640024,0.002926242,0.0004042617,0.0008313609],"category_scores_gemma":[0.001920009,0.0005165784,0.001086742,0.000356226,0.002098081,0.001127065,0.0003378108,0.001062954,0.000108205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752728,"about_ca_system_score_gemma":0.001453412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004834978,"about_ca_topic_score_gemma":0.01195344,"domain_scores_codex":[0.9945395,0.0008720348,0.001827128,0.0005830723,0.001452122,0.0007261211],"domain_scores_gemma":[0.9867089,0.004226949,0.001741484,0.0004021451,0.006627631,0.0002928807],"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":[0.0004343236,0.0005963014,0.00223408,0.0000932085,0.003338525,0.00003792605,0.01044616,0.003048708,0.0009439511,0.9557976,0.01943016,0.003599019],"study_design_scores_gemma":[0.001034274,0.0004496448,0.002443391,0.001316955,0.0004430595,0.0009184062,0.001324712,0.006122514,0.01430129,0.1022384,0.8688365,0.0005709098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3979356,0.01709284,0.09470576,0.345485,0.05671546,0.001942115,0.001638237,0.0001569326,0.08432799],"genre_scores_gemma":[0.9240315,0.01303894,0.005385601,0.001858432,0.01939839,0.00003646256,0.00006491166,0.00008198073,0.03610382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8535593,"threshold_uncertainty_score":0.9997286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05487125720178639,"score_gpt":0.3733934669918144,"score_spread":0.318522209790028,"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."}}