{"id":"W7117090595","doi":"","title":"ЛГБТ-військові в Україні під час російсько-української війни: тенденції в суспільному ставленні та перспективи впровадження політик із протидії дискримінації в армії України","year":2025,"lang":"uk","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Visibility; Institution; Relevance (law); Military personnel; Social change; Government (linguistics); Phenomenon","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":[0.001578449,0.0002878387,0.0002311553,0.001365992,0.003891502,0.007792568,0.0004609689,0.0009304903,0.0103002],"category_scores_gemma":[0.002988646,0.0003565379,0.0003072939,0.001546838,0.005173169,0.002990803,0.002641131,0.002000066,0.002485964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00409953,"about_ca_system_score_gemma":0.006196856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01444908,"about_ca_topic_score_gemma":0.01790783,"domain_scores_codex":[0.9983351,0.000525212,0.0000932488,0.0002581335,0.0005217175,0.0002665605],"domain_scores_gemma":[0.9986093,0.0004215288,0.0002170385,0.0001676427,0.0003670923,0.000217291],"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":[0.00007672349,0.00005394291,0.01130939,0.0003586548,0.00002649802,0.001234454,0.06236437,0.0004928532,0.00262226,0.7557091,0.009921427,0.1558303],"study_design_scores_gemma":[0.00001242501,0.00006160263,0.02302518,0.000542796,0.00003714414,0.001216743,0.03548314,0.0003939999,0.003147839,0.1202358,0.8157825,0.0000607371],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1878542,0.01650708,0.03318264,0.0157209,0.00101846,0.0001931578,0.0005608301,0.0002033667,0.7447595],"genre_scores_gemma":[0.9204313,0.0070159,0.01168546,0.0006845848,0.0001767867,0.0001115524,0.0001933922,0.0001285204,0.05957257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01444908,"threshold_uncertainty_score":0.03445756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0922610032946812,"score_gpt":0.4262423708868261,"score_spread":0.3339813675921449,"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."}}