{"id":"W3134248259","doi":"10.9770/jssi.2020.10.1(6)","title":"STATE MANAGEMENT IN THE AREA OF ENSURING THE SECURITY OF THE COURT AND PARTICIPANTS IN LEGAL PROCEDURES","year":2020,"lang":"en","type":"article","venue":"Journal of Security and Sustainability Issues","topic":"Legal Studies and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Political science; Law; Legislation; Ukrainian; State (computer science); Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.002493608,0.00007663869,0.0002476978,0.00002503497,0.0002201003,0.00004517285,0.0002716929,0.00003460308,0.000002701781],"category_scores_gemma":[0.000785672,0.00003229728,0.00005993363,0.0002665082,0.000666754,0.0001800378,0.0001446515,0.0002753382,1.821851e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005895929,"about_ca_system_score_gemma":0.0001171305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323599,"about_ca_topic_score_gemma":0.007833077,"domain_scores_codex":[0.9985555,0.0003178307,0.0004112844,0.00009353597,0.0003988843,0.0002228945],"domain_scores_gemma":[0.9993058,0.0001602704,0.0002174174,0.00008774985,0.0001813133,0.0000473821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001709832,0.0001897246,0.243789,0.0006814229,0.00004958892,0.00002451803,0.7474403,0.00005012478,0.000002438549,0.006346523,0.0001368426,0.001118521],"study_design_scores_gemma":[0.0004992378,0.0001610207,0.2757566,0.00009641524,0.00003415568,0.000002347023,0.6607527,0.00008155437,0.00007135349,0.05002204,0.0124485,0.00007407682],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375681,0.002239571,5.255716e-7,0.05944178,0.00002977858,0.0003573007,0.000002448653,0.00000150364,0.0003589751],"genre_scores_gemma":[0.996925,0.002878866,0.000003066915,0.0001364046,0.00004069591,0.000003114336,3.516072e-8,0.000001874498,0.00001091894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08668756,"threshold_uncertainty_score":0.5024309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885350097157052,"score_gpt":0.308645022343957,"score_spread":0.2897915213723865,"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."}}