{"id":"W7154631513","doi":"10.32689/2618-0065-2025-2(18)-09","title":"КОМУНІКАЦІЯ ПРИ ПРАЦЕВЛАШТУВАННІ ВЕТЕРАНІВ НА ПУБЛІЧНУ СЛУЖБУ: ПІДТРИМКА ВЕТЕРАНІВ В УМОВАХ РЕФОРМИ ДЕРЖАВНОГО УПРАВЛІННЯ ТА ЄВРОПЕЙСЬКОЇ ІНТЕГРАЦІЇ","year":2025,"lang":"","type":"article","venue":"","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.002901803,0.0005167831,0.0003669768,0.002391706,0.003001031,0.009570471,0.0007316386,0.001562913,0.02219784],"category_scores_gemma":[0.007985327,0.0006523516,0.0004842495,0.002321816,0.005033049,0.004564844,0.003332842,0.002509572,0.007357759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003226223,"about_ca_system_score_gemma":0.005913774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005919784,"about_ca_topic_score_gemma":0.007434915,"domain_scores_codex":[0.9968899,0.0008536055,0.0001879077,0.0004697511,0.001263928,0.0003349255],"domain_scores_gemma":[0.9962457,0.001323223,0.0005715517,0.0006855376,0.0008701216,0.000303722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006146335,0.00005038817,0.003116511,0.000252755,0.0000217766,0.0006914133,0.007701402,0.001015373,0.002836397,0.8718377,0.007058559,0.1053562],"study_design_scores_gemma":[0.00002908454,0.00007628958,0.007820282,0.0004948454,0.00006308424,0.001217396,0.00817683,0.001516409,0.00513985,0.3048425,0.6705237,0.00009980715],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07836055,0.00918592,0.140954,0.01595795,0.001279422,0.000322837,0.0007563989,0.0005217458,0.7526612],"genre_scores_gemma":[0.8198015,0.008273279,0.06906383,0.0007962096,0.0006022978,0.000468765,0.0004102299,0.0004180674,0.1001659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02219784,"threshold_uncertainty_score":0.07425916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03562498387778903,"score_gpt":0.3651860131579418,"score_spread":0.3295610292801527,"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."}}