{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004043128,0.0001378565,0.0002072319,0.00009579397,0.0009187762,0.000397646,0.0001134722,0.0000207452,0.0009156939],"category_scores_gemma":[0.000006954535,0.0001047957,0.0002110197,0.00005548847,0.0001855198,0.001214691,0.000003741125,0.0002175641,0.00005392438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002945638,"about_ca_system_score_gemma":0.00002301874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000568411,"about_ca_topic_score_gemma":0.0003395744,"domain_scores_codex":[0.999001,0.00008795656,0.0002939242,0.0001278443,0.000290447,0.0001988229],"domain_scores_gemma":[0.9995068,0.00006787933,0.0001417554,0.00008073331,0.0001268139,0.00007606373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00024503,0.0002654257,0.0002285322,0.00009678835,0.002286009,0.00005386859,0.0345928,0.003384763,0.002073252,0.1927639,0.0001849332,0.7638247],"study_design_scores_gemma":[0.0009651238,0.0001430876,0.00128878,0.00005023809,0.0009987137,0.0001813784,0.0007990405,0.00001356584,0.0007324312,0.06561346,0.9289458,0.0002683331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3393362,0.4708351,0.08932479,0.01625404,0.005336611,0.0006250362,0.00007193433,0.0004284586,0.07778777],"genre_scores_gemma":[0.9839059,0.01172138,0.003174742,0.0002300179,0.0008086135,0.000005537754,0.000003932314,0.00001939059,0.000130469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9287609,"threshold_uncertainty_score":0.9999976,"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."}}