{"id":"W7007017507","doi":"","title":"Зарубіжний досвід застосування мультидисциплінарного підходу в запобіганні та протидії випадкам домашнього насильства","year":2025,"lang":"en","type":"article","venue":"Scientific periodicals of Ukraine","topic":"Education and Social Development in Ukraine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Law enforcement; Order (exchange); Domestic violence; State (computer science); TRACE (psycholinguistics); Sociology of scientific knowledge","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":["sts"],"category_scores_codex":[0.005491246,0.0003810873,0.0007022091,0.0007587639,0.003143725,0.000818975,0.001567043,0.0004058862,0.005523016],"category_scores_gemma":[0.004415363,0.0003861702,0.000361223,0.003438253,0.00460463,0.0004293825,0.0003157171,0.0004333912,0.0003728343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607674,"about_ca_system_score_gemma":0.004201008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006876249,"about_ca_topic_score_gemma":0.001340718,"domain_scores_codex":[0.9944564,0.00053265,0.001158626,0.001001254,0.001722084,0.001129009],"domain_scores_gemma":[0.9966098,0.0005117478,0.0003881044,0.0008605279,0.001082253,0.0005475607],"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":[0.00009319445,0.001500824,0.008368261,0.000266976,0.0002927434,0.00001785937,0.1189559,0.0000108412,0.00771384,0.3219963,0.4877911,0.05299208],"study_design_scores_gemma":[0.0006350413,0.00003467543,0.00473893,0.0001643687,0.00005386744,7.799896e-7,0.007814742,0.0000380888,0.001060618,0.005115326,0.9799243,0.0004192901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3991178,0.002763697,0.0004484732,0.07588442,0.01516802,0.001543133,0.0001512047,0.0006296971,0.5042936],"genre_scores_gemma":[0.8246474,0.000596893,0.002429335,0.00243584,0.0005293881,0.0001000903,0.0001326189,0.00003472831,0.1690937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4921332,"threshold_uncertainty_score":0.999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791309868191728,"score_gpt":0.3876926688829002,"score_spread":0.3697795702009829,"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."}}