{"id":"W2202282451","doi":"","title":"Историко-юридическая характеристика Свода законов гражданских в Российской империи 1832 года (гражданская процессуальная сторона)","year":2012,"lang":"ru","type":"article","venue":"Ученые записки Орловского государственного университета. Серия: Гуманитарные и социальные науки","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Majesty; Law; Civil code; Legislation; Political science; Empire; Work (physics); Quarter (Canadian coin); History; Engineering; Archaeology","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":[0.01304309,0.007916415,0.008657958,0.003954948,0.01091466,0.003940588,0.01019032,0.007043649,0.04061252],"category_scores_gemma":[0.002850673,0.0078259,0.007432081,0.01318429,0.008908947,0.01084752,0.004169134,0.007978086,0.03127599],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004840465,"about_ca_system_score_gemma":0.005323786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162916,"about_ca_topic_score_gemma":0.007562989,"domain_scores_codex":[0.9496003,0.006505215,0.008910702,0.00788106,0.01087171,0.016231],"domain_scores_gemma":[0.969435,0.003022695,0.00591663,0.008578594,0.002727697,0.01031934],"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":[0.004537567,0.0239442,0.1696565,0.005185757,0.0194666,0.002700124,0.1285904,0.001531395,0.02492479,0.1896788,0.3046154,0.1251685],"study_design_scores_gemma":[0.009312618,0.001664332,0.04781923,0.002194044,0.008054449,0.0006642363,0.02093838,0.0008372301,0.01230148,0.007024933,0.8740781,0.01511098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6644775,0.05156399,0.001271365,0.01971506,0.03409242,0.00914144,0.002642591,0.005536496,0.2115592],"genre_scores_gemma":[0.8593906,0.00523383,0.001817679,0.004553728,0.02137742,0.0007145877,0.00104073,0.001531801,0.1043397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5694627,"threshold_uncertainty_score":0.9989797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241947267003625,"score_gpt":0.2964064653037739,"score_spread":0.2739869926337377,"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."}}