{"id":"W3039228225","doi":"10.33099/2617-1783/2020-1/173-180","title":"ІННОВАЦІЙНІ ПІДХОДИ ДО ПІДГОТОВКИ ОФІЦЕРА-ЛІДЕРА","year":2020,"lang":"uk","type":"article","venue":"Військова освіта","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Political science; Position (finance); Management; Engineering ethics; Engineering; Law; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001054896,0.000671626,0.000965165,0.000141333,0.001967297,0.0002937854,0.001177476,0.0004483922,0.006825879],"category_scores_gemma":[0.001355779,0.0006923021,0.0005111198,0.00151568,0.001128042,0.000552666,0.0004379438,0.0007247427,0.007768439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269621,"about_ca_system_score_gemma":0.001149414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006425931,"about_ca_topic_score_gemma":0.002528977,"domain_scores_codex":[0.9942614,0.0006210378,0.001006915,0.001290739,0.001326099,0.001493752],"domain_scores_gemma":[0.9968912,0.0004719552,0.0003441679,0.0006647882,0.0004722755,0.00115561],"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":[0.00008267136,0.0004356114,0.008248004,0.000318111,0.0003017737,0.00003104346,0.284934,0.00001250096,0.00009267506,0.03428205,0.6633165,0.007945039],"study_design_scores_gemma":[0.0006620054,0.0002426468,0.00792416,0.00008399476,0.0001933924,0.00000243797,0.08088122,0.0001286627,0.00008546812,0.004846178,0.9040616,0.00088821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1227218,0.06593261,0.0002698389,0.3438557,0.01495907,0.002057808,0.000356394,0.0009410014,0.4489058],"genre_scores_gemma":[0.9542796,0.006674709,0.0003483951,0.009530136,0.007859779,0.00007606419,0.00004483627,0.00008248492,0.021104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8315578,"threshold_uncertainty_score":0.9995528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08046283828380099,"score_gpt":0.3486319102337002,"score_spread":0.2681690719498991,"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."}}