{"id":"W4408345219","doi":"10.26104/nntik.2023.88.69.030","title":"ЦИФРОВОЕ ПРАВОСУДИЕ: СЕГОДНЯ И ЗАВТРА","year":2023,"lang":"ru","type":"article","venue":"Nauka, novye tehnologii i innovacii Kyrgyzstana.","topic":"Education, Law, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","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","research_integrity","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.006526009,0.001231534,0.00146506,0.001019216,0.004267904,0.0007617791,0.003074248,0.002446251,0.005327022],"category_scores_gemma":[0.003197731,0.00128964,0.0007802029,0.01619557,0.003349294,0.001069092,0.0008048159,0.002006455,0.005531356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413642,"about_ca_system_score_gemma":0.002405954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890465,"about_ca_topic_score_gemma":0.00448781,"domain_scores_codex":[0.9887377,0.001052565,0.00197848,0.002240837,0.002332778,0.003657611],"domain_scores_gemma":[0.9935758,0.001095552,0.0009792964,0.00218757,0.00146165,0.0007001175],"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":[0.00006195126,0.0007191445,0.02640131,0.0002510254,0.0006039423,0.0001279013,0.0517403,0.00002903689,0.0005825246,0.2990207,0.5873033,0.03315881],"study_design_scores_gemma":[0.001192459,0.0002763067,0.005684475,0.0001516149,0.0001624784,0.000008873187,0.1681068,0.0001051166,0.0003515664,0.0138649,0.8085889,0.001506541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.722696,0.003098049,0.000121942,0.06102053,0.01691514,0.002072402,0.0004732802,0.004712089,0.1888905],"genre_scores_gemma":[0.8674351,0.007594235,0.0009004283,0.00294933,0.003921661,0.0002247679,0.0003789893,0.0002260559,0.1163695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2851558,"threshold_uncertainty_score":0.999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06017830839086366,"score_gpt":0.3673693576190561,"score_spread":0.3071910492281924,"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."}}