{"id":"W4411556644","doi":"10.7202/1118382ar","title":"Automaticity in translation: Effects of time pressure and work experience","year":2024,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Automaticity; Translation (biology); Work (physics); Computer science; Psychology; Neuroscience; Chemistry; Engineering; Mechanical engineering","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":[0.003173877,0.0002872805,0.000259992,0.0005971228,0.0004812977,0.001499167,0.0002696079,0.0003615868,0.003536694],"category_scores_gemma":[0.02876715,0.0001519823,0.0003141758,0.000465793,0.00102088,0.0007343808,0.001266928,0.0005183939,0.0004487252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002552903,"about_ca_system_score_gemma":0.0004316361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007395078,"about_ca_topic_score_gemma":0.0008252737,"domain_scores_codex":[0.996311,0.001515032,0.0003809428,0.0004260721,0.001069937,0.0002970137],"domain_scores_gemma":[0.9647279,0.02346383,0.006226541,0.001346255,0.00218845,0.002046992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002695472,0.001280866,0.7133806,0.0006112353,0.0002728065,0.001442179,0.06894531,0.0005123271,0.02940443,0.000359078,0.000624903,0.1804707],"study_design_scores_gemma":[0.0000189823,0.001383082,0.9877504,0.00003911442,0.00002841906,0.0004172822,0.007520297,0.0003148303,0.001406284,0.0002444334,0.0008495597,0.00002732421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973913,0.0001546715,0.0006911623,0.00005156131,0.00001102616,0.00001890528,0.00002307989,0.00001281717,0.001645469],"genre_scores_gemma":[0.999151,0.00006558024,0.0002819943,0.00001744593,0.00001199705,0.00001983689,0.00002346643,0.000006071768,0.0004224275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003536694,"threshold_uncertainty_score":0.01678526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007342849874864,"score_gpt":0.2792947620481093,"score_spread":0.2292213335493607,"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."}}