{"id":"W2131282281","doi":"10.7202/004532ar","title":"Anticipation in Simultaneous Interpretation","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Anticipation (artificial intelligence); Interpretation (philosophy); Interpreter; Utterance; German; Linguistics; Verb; Language production; Computer science; Psychology; Cognitive psychology; Natural language processing; Artificial intelligence; Philosophy; Cognition; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001145392,0.0001313581,0.0002827682,0.0002368452,0.0006607739,0.00002627717,0.0002832336,0.000115465,0.001386051],"category_scores_gemma":[0.001882402,0.0001087323,0.0001165288,0.0002944386,0.0000657593,0.0002240039,0.00002840488,0.001251261,0.0002537978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231671,"about_ca_system_score_gemma":0.00004219583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001213569,"about_ca_topic_score_gemma":0.0001928049,"domain_scores_codex":[0.9965544,0.001876125,0.0008156505,0.0001476907,0.0002140792,0.0003920789],"domain_scores_gemma":[0.9974703,0.001524899,0.0003192277,0.0002771612,0.0002893748,0.0001190811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000359113,0.0005102193,0.1006443,0.000634034,0.0005374589,0.0001454879,0.09094533,0.006508866,0.0007884479,0.006548492,0.003039258,0.789339],"study_design_scores_gemma":[0.00595281,0.00168482,0.08663505,0.005357371,0.001607246,0.0007235857,0.01949145,0.6250051,0.0003411509,0.07501037,0.176114,0.002077057],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507305,0.02577294,0.01093321,0.003966623,0.00163156,0.0005060186,0.000006731514,0.0001180081,0.006334427],"genre_scores_gemma":[0.9903387,0.006357028,0.001349784,0.0007071294,0.0001465671,0.00004639998,0.000003442658,0.00002267632,0.001028304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.787262,"threshold_uncertainty_score":0.9995268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292837345808743,"score_gpt":0.4234178521184881,"score_spread":0.2941341175376138,"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."}}