{"id":"W7140955944","doi":"","title":"ВИМОГИ ДО СЕРЖАНТСЬКОГО СКЛАДУ НАЦІОНАЛЬНОЇ ГВАРДІЇ УКРАЇНИ: ДОСВІД ЗБРОЙНИХ СИЛ КАНАДИ ТА США","year":2019,"lang":"uk","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Peacekeeping; Guard (computer science); Work (physics); National security; Composition (language); Order (exchange); National guard","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002127934,0.000388382,0.0003134042,0.002277937,0.002967582,0.006628256,0.0005772694,0.001115073,0.02368639],"category_scores_gemma":[0.004804941,0.0006035578,0.0003916087,0.002371127,0.003640515,0.002527918,0.002370531,0.001817157,0.01087105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002438775,"about_ca_system_score_gemma":0.006448668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026778,"about_ca_topic_score_gemma":0.01695447,"domain_scores_codex":[0.9974076,0.0005353704,0.0001766955,0.000337804,0.001254109,0.0002884019],"domain_scores_gemma":[0.9973958,0.0007368796,0.0003117642,0.0003915395,0.0009060486,0.0002581172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001483546,0.00008905151,0.006582753,0.0004876341,0.00002270509,0.001902553,0.01606581,0.00135647,0.01218823,0.5897899,0.02338206,0.3479846],"study_design_scores_gemma":[0.00001678262,0.00006754347,0.007069826,0.0002790592,0.00002231598,0.001243083,0.006072128,0.0005146415,0.006191506,0.05109584,0.9273653,0.00006197918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08681178,0.01174285,0.1195678,0.008949235,0.001478131,0.0005314315,0.001120348,0.0005487482,0.7692496],"genre_scores_gemma":[0.6544315,0.01634727,0.1190396,0.0008480597,0.0004481735,0.000812837,0.0007675535,0.0004727191,0.2068323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9897322,"threshold_uncertainty_score":0.07923883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08291046351351938,"score_gpt":0.3660842425787496,"score_spread":0.2831737790652302,"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."}}