{"id":"W6988297822","doi":"","title":"ЦИФРОВІЗАЦІЯ СОЦІАЛЬНОГО ОБСЛУГОВУВАННЯ У ПРОЦЕСІ РЕІНТЕГРАЦІЇ ВЕТЕРАНІВ","year":2025,"lang":"en","type":"article","venue":"Scientific periodicals of Ukraine","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social work; Social Welfare; Process (computing); Service (business); Social computing; Field (mathematics); Social policy; Social change","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":[0.001895167,0.0005132188,0.000373762,0.002241415,0.001677264,0.005653956,0.0006449359,0.001274698,0.0300684],"category_scores_gemma":[0.003960919,0.000641965,0.0005292257,0.002599344,0.002847741,0.002159619,0.001921237,0.002204077,0.008874521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002277765,"about_ca_system_score_gemma":0.005112853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006955689,"about_ca_topic_score_gemma":0.006331567,"domain_scores_codex":[0.9977398,0.0005069937,0.0001300279,0.0002785732,0.001119694,0.0002249179],"domain_scores_gemma":[0.9985036,0.0004662482,0.0001715567,0.0002578414,0.0004618922,0.0001390218],"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":[0.0001244418,0.00008564814,0.002334235,0.0005209597,0.00002280663,0.001287842,0.004332639,0.002322213,0.005523967,0.7342956,0.01636741,0.2327823],"study_design_scores_gemma":[0.00004047705,0.0000867225,0.00562302,0.0005472648,0.0000435965,0.001585691,0.003454007,0.002361093,0.005386724,0.185968,0.7948003,0.0001031851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05610667,0.02306664,0.1483321,0.01205144,0.002730381,0.0004419127,0.001363909,0.000489999,0.7554169],"genre_scores_gemma":[0.6967777,0.02533201,0.1163124,0.0006322032,0.0007206883,0.0006747699,0.0007656608,0.0004190122,0.1583656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0300684,"threshold_uncertainty_score":0.1005888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018360476237332,"score_gpt":0.2429685326386618,"score_spread":0.2246080564013298,"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."}}