{"id":"W4380520749","doi":"10.6000/1929-4409.2020.09.278","title":"Automated Text Translation","year":2022,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Computer science; Correctness; Computer-assisted translation; Machine translation; Translation (biology); Programming language; Information retrieval; World Wide Web; Natural language processing; Artificial intelligence; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003843115,0.0000514557,0.0001040105,0.0001982598,0.0001275718,0.00001640019,0.0006337424,0.00005484568,0.0001006187],"category_scores_gemma":[0.00006316537,0.00005081054,0.00004460818,0.00001435228,0.0001585664,0.0002252063,0.0001048775,0.000253147,0.000005966128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006559656,"about_ca_system_score_gemma":0.0001056515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008471957,"about_ca_topic_score_gemma":3.858572e-7,"domain_scores_codex":[0.9991609,0.0002066915,0.0002629136,0.0001023743,0.0001681246,0.00009899469],"domain_scores_gemma":[0.9992467,0.0002342211,0.0002441445,0.00006893072,0.0001780126,0.00002801762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009319687,0.0001913456,0.002454021,0.000002301909,0.0001719676,0.0001042613,0.02741181,0.001296468,0.003320788,0.7738088,0.002707195,0.1884379],"study_design_scores_gemma":[0.0005309739,0.0007211164,0.02164707,0.000005277785,0.00002778761,0.003199878,0.001740373,0.04112351,0.002344025,0.9005026,0.02794854,0.0002088056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989729,0.0004414433,0.08173309,0.01486224,0.003603023,0.00003211316,0.000001477852,0.00004726752,0.0003064513],"genre_scores_gemma":[0.9941901,0.00004519583,0.004700019,0.0009148284,0.0001170307,0.000003747916,0.000002118597,0.000002566581,0.00002439505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1882291,"threshold_uncertainty_score":0.2071993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069822258438451,"score_gpt":0.3755661245831213,"score_spread":0.2685838987392762,"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."}}