{"id":"W2092062476","doi":"10.7202/019872ar","title":"Leveraging Virtual Learning Environments for Training Interpreter Trainers","year":2009,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpreter; Certificate; Computer science; Medical education; Multimedia; World Wide Web; Medicine","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":[0.004187566,0.0006034243,0.000384461,0.0009787519,0.0008392009,0.004440271,0.001613566,0.0009910134,0.005449763],"category_scores_gemma":[0.0137582,0.0002762085,0.0005247151,0.0004995096,0.0009245261,0.002638934,0.006066719,0.001322325,0.001879151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006372568,"about_ca_system_score_gemma":0.002047926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004181257,"about_ca_topic_score_gemma":0.001179531,"domain_scores_codex":[0.9962035,0.002483798,0.0001248711,0.0002727597,0.0005458577,0.0003693912],"domain_scores_gemma":[0.9927538,0.004173447,0.0004551976,0.0004353346,0.0005036854,0.001678574],"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":[0.0006889639,0.006742558,0.01312416,0.002171382,0.00007770612,0.001191076,0.04411345,0.006432097,0.009504288,0.003973819,0.01132799,0.9006525],"study_design_scores_gemma":[0.001076102,0.01848145,0.06852334,0.008677262,0.0005500034,0.005548169,0.122842,0.01904831,0.04389699,0.01905312,0.6915142,0.0007890992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850302,0.002746008,0.07666563,0.001695237,0.0005352279,0.001752481,0.0002866948,0.00156301,0.06445377],"genre_scores_gemma":[0.8762444,0.002574783,0.1013049,0.0005254867,0.0001367354,0.001157625,0.0003671379,0.0002102711,0.01747862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005449763,"threshold_uncertainty_score":0.02214622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437509051456943,"score_gpt":0.4098489744222747,"score_spread":0.2660980692765804,"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."}}