{"id":"W4205776979","doi":"10.37772/2309-9275-2021-2(17)-24","title":"Restorative juvenile justice","year":2021,"lang":"en","type":"article","venue":"Law and innovative society","topic":"Ukrainian Legal and Forensic Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Economic Justice; Political science; Juvenile delinquency; State (computer science); Criminology; False accusation; Law; Sociology","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":[0.007992662,0.001036003,0.0008358617,0.001551182,0.02304914,0.007513087,0.004301568,0.007340665,0.02062497],"category_scores_gemma":[0.0153995,0.0003813982,0.001293219,0.000988612,0.01334859,0.00440616,0.01889878,0.01475535,0.002592561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01049694,"about_ca_system_score_gemma":0.03160435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231109,"about_ca_topic_score_gemma":0.02717425,"domain_scores_codex":[0.9859553,0.005689759,0.0008221505,0.002170792,0.002148718,0.003213188],"domain_scores_gemma":[0.9893658,0.001522554,0.001397651,0.0007477342,0.002620668,0.004345691],"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":[0.0000665589,0.0006259268,0.009448307,0.001365922,0.0001004721,0.01600324,0.03520013,0.0008773312,0.001030043,0.5386549,0.2717189,0.1249081],"study_design_scores_gemma":[0.00004008108,0.0001677747,0.005446434,0.002967832,0.00004578761,0.0100966,0.07632954,0.0006501485,0.0005293789,0.1824541,0.7211824,0.00008981714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04450221,0.01647976,0.03295679,0.4426655,0.01729625,0.00162328,0.00036566,0.0004048954,0.4437055],"genre_scores_gemma":[0.651475,0.01419077,0.03206438,0.1401013,0.0057423,0.001821309,0.0004289114,0.0003368016,0.1538392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02304914,"threshold_uncertainty_score":0.07616103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464515282812985,"score_gpt":0.3185751142135899,"score_spread":0.28392996138546,"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."}}