{"id":"W2148772848","doi":"10.7202/008039ar","title":"Ear Voice Span in English into Korean Simultaneous Interpretation","year":2004,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpreter; Sentence; Interpretation (philosophy); Speech recognition; Computer science; Audiology; Natural language processing; Linguistics; 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":[0.000598325,0.0002401041,0.0001305306,0.0003541876,0.0001286197,0.0003460615,0.00009367208,0.00009654911,0.001680116],"category_scores_gemma":[0.0034624,0.0001000063,0.0001400933,0.000225759,0.0001688004,0.0003927201,0.000293863,0.0001595599,0.0002488308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147543,"about_ca_system_score_gemma":0.0001247241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005317007,"about_ca_topic_score_gemma":0.000868784,"domain_scores_codex":[0.9997399,0.00006991685,0.00003990305,0.00006279715,0.00006208738,0.00002531323],"domain_scores_gemma":[0.9986439,0.0006414679,0.0003180313,0.00006556765,0.0002514733,0.00007960333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005982275,0.0002307859,0.2570504,0.000689985,0.0001761395,0.005017058,0.03378394,0.0009072769,0.4557399,0.0008214853,0.0005360339,0.2390647],"study_design_scores_gemma":[0.00005538272,0.002729475,0.9052142,0.00006001518,0.0002157159,0.00547484,0.009154966,0.001907469,0.06920104,0.0006308875,0.005291999,0.0000641029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984377,0.0002010004,0.0005418353,0.00000896047,0.000005162439,0.000006171293,0.00004699354,0.0000101053,0.0007421463],"genre_scores_gemma":[0.9988837,0.00009408606,0.0005656945,0.000008570682,0.000003944565,0.000007408739,0.00007250079,0.000007985662,0.0003561746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001680116,"threshold_uncertainty_score":0.005620539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0496674073669118,"score_gpt":0.3859032356010902,"score_spread":0.3362358282341784,"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."}}