{"id":"W810416225","doi":"","title":"Правовые механизмы обеспечения эффективности работы судебных органов Российской империи в законе от 7 ноября 1775 г. «Учреждения для управления губерний»","year":2008,"lang":"ru","type":"article","venue":"Ленинградский юридический журнал","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeal; Law; Political science; Economic Justice; Order (exchange); Quarter (Canadian coin); History; Archaeology; Economics","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004261241,0.003718837,0.004730897,0.001857873,0.009238886,0.001322935,0.005843583,0.003525264,0.01779179],"category_scores_gemma":[0.001126045,0.003544928,0.00420027,0.008156165,0.007323846,0.003753229,0.001739526,0.003951846,0.01620099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281911,"about_ca_system_score_gemma":0.005097763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073748,"about_ca_topic_score_gemma":0.004737543,"domain_scores_codex":[0.9740846,0.003072315,0.004546881,0.005247824,0.006405612,0.0066428],"domain_scores_gemma":[0.9860053,0.001379869,0.002495592,0.004588322,0.001653245,0.003877647],"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":[0.002365961,0.01321821,0.1455512,0.002460247,0.01190216,0.009324466,0.1647387,0.003639632,0.01074991,0.086308,0.4764037,0.07333779],"study_design_scores_gemma":[0.00579612,0.001062274,0.03330857,0.001056571,0.00263965,0.0004836525,0.01215448,0.001783439,0.004418379,0.005058393,0.9247337,0.007504776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6267349,0.02132641,0.0008915719,0.02006078,0.0157632,0.004257208,0.0009519251,0.003163908,0.3068502],"genre_scores_gemma":[0.8191484,0.005777438,0.0007782991,0.003245933,0.008917712,0.0002387139,0.000317977,0.0005473619,0.1610282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.44833,"threshold_uncertainty_score":0.9997138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905508615845122,"score_gpt":0.267917808455119,"score_spread":0.2388627222966678,"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."}}