{"id":"W2145763679","doi":"10.7202/008022ar","title":"Measuring Translation Competence Acquisition","year":2004,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Competence (human resources); Computer science; Measure (data warehouse); Empirical research; Natural language processing; Artificial intelligence; Psychology; Data mining; Mathematics; Social psychology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01897236,0.0006775051,0.000837116,0.003003505,0.000957657,0.002768749,0.0006351016,0.0007757277,0.006800842],"category_scores_gemma":[0.1001579,0.0003546356,0.0007514399,0.001806865,0.001158554,0.002646416,0.003870518,0.001866363,0.002257006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283166,"about_ca_system_score_gemma":0.002627971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162912,"about_ca_topic_score_gemma":0.001271578,"domain_scores_codex":[0.9794778,0.009441282,0.00231908,0.00130241,0.006579929,0.0008796034],"domain_scores_gemma":[0.9327236,0.03620618,0.007776904,0.005323532,0.01624904,0.001720833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006327,0.001406298,0.1544706,0.002502316,0.0002552834,0.0003443712,0.03983275,0.001264391,0.02445343,0.007791311,0.004478116,0.7625684],"study_design_scores_gemma":[0.0002187174,0.005777558,0.7993124,0.001793579,0.0004150019,0.002520715,0.02259498,0.009185785,0.07462376,0.01243816,0.07072447,0.0003949691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089454,0.001988948,0.1036927,0.0008033495,0.0002380002,0.003930234,0.001144763,0.0007182838,0.07853843],"genre_scores_gemma":[0.8963532,0.001109298,0.08894481,0.0002765431,0.00006300144,0.0023273,0.001213575,0.0001522342,0.009560087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01897236,"threshold_uncertainty_score":0.1003367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1583598422459167,"score_gpt":0.275156641419574,"score_spread":0.1167967991736572,"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."}}