{"id":"W4389384300","doi":"10.17072/2619-0648-2022-3-128-141","title":"SYSTEM ELEMENTS OF RUSSIAN PREVENTIVE LAW","year":2022,"lang":"en","type":"article","venue":"Ex Jure","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Legislator; Preventive detention; Legislation; Law enforcement; Law; Crime prevention; Officer; State (computer science); Political science; Criminal law; Business; Criminology; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001757852,0.0002412979,0.00027769,0.002041376,0.002643807,0.004243434,0.0005983282,0.001146179,0.009560026],"category_scores_gemma":[0.002874756,0.0003189876,0.0006013064,0.0009806388,0.007074629,0.001920071,0.001529563,0.001348369,0.001339568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00572154,"about_ca_system_score_gemma":0.005771968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129283,"about_ca_topic_score_gemma":0.004859093,"domain_scores_codex":[0.9976466,0.0007197846,0.0002269393,0.0005050819,0.0005984554,0.0003031546],"domain_scores_gemma":[0.9981889,0.0005423105,0.0003072102,0.0002767378,0.0005839817,0.0001007327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004932338,0.00001593786,0.00124276,0.00002493303,0.000005932527,0.00006221775,0.0008499679,0.000524893,0.000243433,0.9936219,0.0003926956,0.003010405],"study_design_scores_gemma":[0.00006789995,0.0001196125,0.01605051,0.0001764768,0.00008614331,0.000418245,0.001713407,0.008987517,0.001460944,0.8665848,0.104294,0.00004033969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1823971,0.0010672,0.08686341,0.006097863,0.0001980669,0.000470062,0.000765797,0.0003551122,0.7217854],"genre_scores_gemma":[0.9647098,0.0002932602,0.01317881,0.0002497676,0.00008253669,0.0002300138,0.0002615903,0.00002860457,0.02096554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01129283,"threshold_uncertainty_score":0.04151285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698975232441171,"score_gpt":0.3289779339307038,"score_spread":0.3119881816062921,"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."}}