{"id":"W2603266381","doi":"","title":"Канадская модель государственной юридической службы и ее адаптация в России","year":2014,"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":"Computer science","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.005535682,0.002199427,0.002902624,0.001038143,0.004439495,0.001473653,0.003839368,0.002163609,0.01352378],"category_scores_gemma":[0.001198856,0.002064788,0.002511686,0.004503347,0.003495474,0.0019308,0.001036917,0.002279858,0.01615952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009140657,"about_ca_system_score_gemma":0.001229981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007233064,"about_ca_topic_score_gemma":0.003164515,"domain_scores_codex":[0.9827605,0.003057235,0.002811585,0.003386552,0.003689909,0.004294221],"domain_scores_gemma":[0.9905976,0.001069277,0.001579695,0.003192493,0.0009541246,0.002606812],"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":[0.001003922,0.005335229,0.05558931,0.001816238,0.005469189,0.0006230304,0.06164555,0.001791331,0.006048932,0.2812781,0.3388982,0.240501],"study_design_scores_gemma":[0.003073499,0.0006869513,0.009969247,0.0006672174,0.001782215,0.00004116816,0.008067972,0.003765352,0.001976985,0.01549894,0.9504917,0.003978712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3015775,0.007657668,0.003240042,0.03124529,0.01550878,0.002771053,0.0003379283,0.00225462,0.6354071],"genre_scores_gemma":[0.8494297,0.001014004,0.0006573965,0.003544905,0.007958344,0.0001086101,0.0001307209,0.0002913941,0.1368649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6115936,"threshold_uncertainty_score":0.9995629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008924429550942354,"score_gpt":0.2572197477360932,"score_spread":0.2482953181851508,"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."}}