{"id":"W2030580359","doi":"10.7202/003453ar","title":"Simultaneous Interpretation with \"Training Wheels\"","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Training (meteorology); Computer science; Management science; Engineering; Geography; Programming language","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":[0.006797229,0.001254857,0.0007071957,0.001437136,0.001807313,0.001916513,0.002525029,0.002077132,0.03095434],"category_scores_gemma":[0.03060073,0.0006580543,0.001244723,0.0009701013,0.004019612,0.003418342,0.006583538,0.004652672,0.009526835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009025456,"about_ca_system_score_gemma":0.003432702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002811,"about_ca_topic_score_gemma":0.002290905,"domain_scores_codex":[0.9933366,0.003301734,0.0003013376,0.0008046051,0.001785968,0.0004698487],"domain_scores_gemma":[0.981523,0.01170813,0.001157671,0.003391404,0.001475963,0.0007438347],"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":[0.0006513917,0.0008393097,0.001924933,0.001125367,0.00003653292,0.0006294571,0.01577154,0.001691101,0.01103268,0.04077903,0.02926992,0.8962488],"study_design_scores_gemma":[0.0004585771,0.002505896,0.01280245,0.004174769,0.0002043759,0.01252063,0.01132795,0.01582729,0.04464227,0.1375183,0.7575589,0.000458515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06844184,0.002554362,0.7750409,0.005874954,0.002915175,0.0008922915,0.0001753099,0.006044696,0.1380606],"genre_scores_gemma":[0.3144799,0.00254964,0.6211397,0.004136226,0.001063265,0.001040996,0.0003094336,0.001365541,0.05391519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03095434,"threshold_uncertainty_score":0.1035526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254860671580404,"score_gpt":0.3897229158579088,"score_spread":0.2642368486998684,"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."}}