{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00222789,0.0002391628,0.0004526233,0.0001778209,0.00206354,0.0000488259,0.0004591332,0.0001422094,0.0002996727],"category_scores_gemma":[0.0007095939,0.0002005998,0.000359712,0.000116673,0.0000931825,0.0002533432,0.00003126286,0.001937322,0.00003024693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002421289,"about_ca_system_score_gemma":0.0001271835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007779615,"about_ca_topic_score_gemma":0.000002393856,"domain_scores_codex":[0.9964615,0.001419929,0.0008587333,0.0002564378,0.000263877,0.0007395956],"domain_scores_gemma":[0.9981262,0.0008284579,0.0004210877,0.0002760452,0.00009619152,0.0002519885],"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":[0.0004155994,0.00009309196,0.002661858,0.00009687929,0.0007573535,0.00001337774,0.1109169,0.001064248,0.00463731,0.004171661,0.001815224,0.8733565],"study_design_scores_gemma":[0.005377928,0.004061255,0.01900025,0.002503254,0.001738628,0.0005571189,0.09107119,0.007840483,0.0005097518,0.05689778,0.8087376,0.001704755],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6788235,0.01062419,0.2907197,0.009929213,0.002612341,0.001137883,0.00001586624,0.0002571252,0.005880143],"genre_scores_gemma":[0.9859708,0.001412776,0.005902785,0.002808507,0.0004494242,0.00007026863,0.00001180235,0.00004362959,0.003329995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8716517,"threshold_uncertainty_score":0.9992356,"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."}}