{"id":"W2923030533","doi":"10.17589/2309-8678-2019-7-1-154-177","title":"The Adversarial System in the Criminal Process of Ukraine: Technical and Legal Aspects","year":2019,"lang":"en","type":"article","venue":"Russian Law Journal","topic":"Legal Studies and Reforms","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversarial system; Procedural law; Law; Criminal procedure; Law enforcement; Criminal investigation; Political science; Legalization; Process (computing); Sociology; 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":[],"consensus_categories":[],"category_scores_codex":[0.001394555,0.00006926261,0.0001387077,0.00001740314,0.001177423,0.0001662277,0.0003390427,0.00006384913,0.00001058672],"category_scores_gemma":[0.0000397759,0.00002760637,0.00005982421,0.0001430982,0.0003850654,0.0001758787,0.00003547945,0.0003538745,0.000004024853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008539485,"about_ca_system_score_gemma":0.0000994831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002351809,"about_ca_topic_score_gemma":0.006805438,"domain_scores_codex":[0.9988326,0.0001214651,0.0002319465,0.00008505252,0.0004654635,0.0002634142],"domain_scores_gemma":[0.9996084,0.0000875812,0.0001306168,0.00008313713,0.00003268437,0.00005756983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004981725,0.00002031242,0.0004656121,0.0000255539,0.00001301003,0.00002750787,0.005247231,0.000002724839,0.000009633058,0.9930168,0.00006819108,0.001053601],"study_design_scores_gemma":[0.003462359,0.0008154747,0.04692218,0.0006312444,0.0001318555,0.001354562,0.3617854,0.00007795887,0.00008770101,0.00915271,0.5750846,0.0004939644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2824199,0.0009796782,0.000009941905,0.01108648,0.0008998927,0.0004109016,0.000002111067,0.00001769171,0.7041734],"genre_scores_gemma":[0.99911,0.0001541367,0.00001568712,0.00005974598,0.0005528705,0.000002854554,8.354209e-8,0.000003904388,0.0001006524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9838641,"threshold_uncertainty_score":0.9055902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006680372564567822,"score_gpt":0.2716054853173653,"score_spread":0.2649251127527975,"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."}}