{"id":"W4383223417","doi":"10.33099/2617-1783/2023-47/143-153","title":"МЕТОДОЛОГІЧНІ ПІДХОДИ ДО ПРОЄКТУВАННЯ ІНТЕЛЕКТУАЛЬНОЇ АДАПТИВНОЇ СИСТЕМИ ІНШОМОВНОЇ ПІДГОТОВКИ ВІЙСЬКОВОСЛУЖБОВЦІВ ЗС УКРАЇНИ INTELLIGENT","year":2023,"lang":"uk","type":"article","venue":"Військова освіта","topic":"Cybersecurity and Information Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Computer science","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004971834,0.002138186,0.002372855,0.001837421,0.001942769,0.003249462,0.006284923,0.001466617,0.002592855],"category_scores_gemma":[0.0008272954,0.00222971,0.00159396,0.00758606,0.0008390073,0.004730847,0.003525656,0.002288276,0.08775677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008901167,"about_ca_system_score_gemma":0.001917694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162406,"about_ca_topic_score_gemma":0.0006818795,"domain_scores_codex":[0.9835133,0.001013575,0.004519361,0.002944372,0.003909903,0.004099481],"domain_scores_gemma":[0.989098,0.000952658,0.001838093,0.005051948,0.001216569,0.00184277],"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":[0.000240247,0.001056502,0.002704295,0.001762398,0.0009657124,0.0008037903,0.05890949,0.002098737,0.0006442679,0.1927743,0.6049446,0.1330957],"study_design_scores_gemma":[0.002602257,0.0007868772,0.004726006,0.001201669,0.0001922158,0.0004049681,0.007357387,0.08942357,0.00354969,0.00711309,0.8791409,0.003501402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1544287,0.01408903,0.144019,0.04215359,0.08738994,0.01335564,0.001910773,0.01710093,0.5255524],"genre_scores_gemma":[0.9280504,0.003426045,0.002046935,0.00440557,0.003823997,0.0004671119,0.0006134924,0.0003691418,0.05679732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7736217,"threshold_uncertainty_score":0.9998297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04660671205771522,"score_gpt":0.2750328123021946,"score_spread":0.2284261002444793,"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."}}