{"id":"W4393253551","doi":"10.52058/2786-4952-2024-3(37)-467-477","title":"СУЧАСНІ ЦИФРОВІ ВИКЛИКИ В СИСТЕМІ ВІЙСЬКОВОЇ ОСВІТИ","year":2024,"lang":"uk","type":"article","venue":"Перспективи та інновації науки","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003854531,0.001090271,0.0006342334,0.002620208,0.004979497,0.01304271,0.001588358,0.003019944,0.05073231],"category_scores_gemma":[0.01107352,0.0009310038,0.0009875731,0.002452383,0.01015869,0.008181391,0.004843084,0.004307806,0.01870808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00576716,"about_ca_system_score_gemma":0.01015788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009848075,"about_ca_topic_score_gemma":0.00966215,"domain_scores_codex":[0.9934676,0.001746841,0.0003811082,0.001227736,0.002458083,0.0007186401],"domain_scores_gemma":[0.9941717,0.001597017,0.000480225,0.00103893,0.00208822,0.0006238992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006926688,0.00005292553,0.001815932,0.0003171266,0.00003078572,0.0004418274,0.006228478,0.0006804563,0.001971013,0.9145411,0.02032849,0.05352259],"study_design_scores_gemma":[0.0000281284,0.00005299163,0.003337433,0.0005307065,0.0000437868,0.0005863567,0.007007525,0.001058174,0.002660917,0.323012,0.6615931,0.00008886556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01916624,0.006958108,0.06995625,0.01849512,0.001727698,0.0002157362,0.000780098,0.0005381858,0.8821626],"genre_scores_gemma":[0.5213844,0.01239266,0.10869,0.004382811,0.001191127,0.0008910625,0.001152781,0.001210595,0.3487046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05073231,"threshold_uncertainty_score":0.1697165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007532584451943303,"score_gpt":0.2116961004241017,"score_spread":0.2041635159721584,"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."}}