{"id":"W1599842379","doi":"10.7202/004035ar","title":"Monitoring Processes in Conference Interpreting: Towards a model for interpreter-trainees","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpreter; Computer science; Quality (philosophy); Data science; Programming language; Epistemology","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":[0.0245312,0.001477859,0.0007296699,0.003943487,0.003247355,0.01688984,0.004251372,0.006211018,0.004489037],"category_scores_gemma":[0.04602365,0.001326997,0.001558624,0.002336537,0.01266349,0.02378382,0.004602297,0.004302257,0.00201997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006286702,"about_ca_system_score_gemma":0.01403746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008487683,"about_ca_topic_score_gemma":0.005981124,"domain_scores_codex":[0.9788961,0.01450724,0.001360488,0.00188532,0.002680482,0.0006703583],"domain_scores_gemma":[0.9558954,0.0255686,0.004514202,0.005046942,0.006063698,0.002911184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000245359,0.0003107819,0.01224568,0.0007022513,0.00008556102,0.0004923063,0.04998633,0.01545004,0.001731493,0.8342461,0.006327677,0.07817639],"study_design_scores_gemma":[0.0001701938,0.0004075597,0.005171675,0.001531095,0.0001876038,0.0009161747,0.0204539,0.1202045,0.003176591,0.7508625,0.09663733,0.0002808398],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02572303,0.001062662,0.8823088,0.03069934,0.0002414541,0.0008770866,0.0001905014,0.001810572,0.05708664],"genre_scores_gemma":[0.3677778,0.001271012,0.6189224,0.001604405,0.0001662814,0.001350334,0.0002629863,0.0003880206,0.008256909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0245312,"threshold_uncertainty_score":0.1297349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2637287864702297,"score_gpt":0.4418069514938555,"score_spread":0.1780781650236257,"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."}}