{"id":"W2061952435","doi":"10.7202/014342ar","title":"Has Computerization Changed Translation?","year":2006,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Translation (biology); Process (computing); Computer science; Linguistics; Programming language; Philosophy; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02368655,0.0008238622,0.0009930194,0.001978155,0.002445577,0.01053685,0.001446165,0.003867412,0.02549106],"category_scores_gemma":[0.09288175,0.0006742104,0.001088711,0.006399168,0.009648641,0.01983463,0.003227584,0.005055892,0.01002097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0041154,"about_ca_system_score_gemma":0.004853052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005432346,"about_ca_topic_score_gemma":0.003420777,"domain_scores_codex":[0.973871,0.01575707,0.001605571,0.004029872,0.003159095,0.001577442],"domain_scores_gemma":[0.9431726,0.03166191,0.003201222,0.01097998,0.009974045,0.001010317],"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":[0.0009211483,0.0002697908,0.007519222,0.002043871,0.0002171876,0.001105128,0.01217662,0.001252867,0.00342346,0.3327247,0.07838044,0.5599655],"study_design_scores_gemma":[0.0001781061,0.00024236,0.007157564,0.001273051,0.0001403335,0.001986419,0.007991971,0.001685912,0.005499935,0.2460171,0.7276697,0.0001575141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0797241,0.05732621,0.06153296,0.5652071,0.02332304,0.0002694722,0.00141071,0.002241632,0.2089648],"genre_scores_gemma":[0.6856918,0.04807448,0.06775986,0.111832,0.01532708,0.0005058768,0.002422842,0.004025906,0.06436024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02549106,"threshold_uncertainty_score":0.1252679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0473628939242072,"score_gpt":0.2687487370608563,"score_spread":0.2213858431366491,"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."}}