{"id":"W4389459705","doi":"10.34142/23127546.2023.59.14","title":"КОНТЕКСТУАЛЬНИЙ ОПЕРАЦІОНАЛІЗМ В АВТОМАТИЗОВАНОМУ ПЕРЕКЛАДІ ТЕРМІНОСПОЛУКИ: НОВИЙ ПІДХІД ДО ПЕРЕКЛАДУ","year":2023,"lang":"uk","type":"article","venue":"Лінгвістичні дослідження","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Catastrophic Loss Reduction","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00168016,0.002264522,0.00229383,0.00190524,0.004209827,0.002030908,0.002078315,0.0009078402,0.02184572],"category_scores_gemma":[0.0004652402,0.002105495,0.001962694,0.00214554,0.002558873,0.001297924,0.001485445,0.002057487,0.0215637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779722,"about_ca_system_score_gemma":0.0005701083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288016,"about_ca_topic_score_gemma":0.004461951,"domain_scores_codex":[0.9884948,0.0005969859,0.002297442,0.002588421,0.002037177,0.003985229],"domain_scores_gemma":[0.9939661,0.0009475521,0.0009275241,0.002516077,0.0007175253,0.000925227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005005569,0.001119242,0.004351085,0.001641797,0.00271504,0.001754751,0.1526975,0.00009954334,0.0005180239,0.2984981,0.5136025,0.02250186],"study_design_scores_gemma":[0.002980289,0.0007579792,0.008644172,0.0008026069,0.0008672936,0.00005241491,0.04557518,0.0004648164,0.0004568604,0.00814907,0.9281504,0.003098967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3298684,0.0247548,0.00005131981,0.009880131,0.01748059,0.002911076,0.002926804,0.004803659,0.6073232],"genre_scores_gemma":[0.8313457,0.005412168,0.0001135702,0.002945352,0.01015516,0.0003977802,0.0007256414,0.000509513,0.1483951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5014774,"threshold_uncertainty_score":0.9990094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218059754531829,"score_gpt":0.2509392357717641,"score_spread":0.2087586382264459,"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."}}