{"id":"W4396234925","doi":"10.52026/2788-5291_2023_74_3_132","title":"ON IMPROVING THE LEGISLATIVE REGULATION OF FALSIFICATION OF EVIDENCE AND INTELLIGENCE, COUNTER-INTELLIGENCE MATERIAL","year":2023,"lang":"en","type":"article","venue":"Bulletin of Institute of Legislation and Legal Information of the Republic of Kazakhstan","topic":"Torture, Ethics, and Law","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Legislature; Criminal code; The Republic; Criminal law; Political science; Law; Criminal investigation; Criminal procedure; Procedural law","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":[0.00265583,0.0001082557,0.0002765276,0.0002189192,0.0001662973,0.00003936109,0.0003130267,0.0001310956,0.00006360989],"category_scores_gemma":[0.002202217,0.00007322866,0.00008490814,0.0004598859,0.001579624,0.0009140643,0.00007663677,0.0001214157,8.856207e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000286721,"about_ca_system_score_gemma":0.0002495029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003984503,"about_ca_topic_score_gemma":0.0002327084,"domain_scores_codex":[0.9977513,0.0001783636,0.001124186,0.0001147138,0.0007142366,0.0001172319],"domain_scores_gemma":[0.99633,0.0004503696,0.001987307,0.0002969547,0.0009020548,0.00003328991],"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":[0.000248216,0.00006156574,0.000383561,0.0005015563,0.00004083979,5.274478e-8,0.03275426,0.00161441,0.002426477,0.9242488,0.0005764912,0.03714382],"study_design_scores_gemma":[0.001369504,0.001830292,0.07738876,0.004894638,0.0002514653,0.000009747502,0.04421259,0.0123332,0.1927466,0.02004506,0.6440814,0.0008367333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741337,0.0003018485,0.01513768,0.0181388,0.001954591,0.002341606,0.0002194394,0.00006955739,0.08770277],"genre_scores_gemma":[0.9988616,0.0002923619,0.0003445667,0.00003827014,0.0000346406,0.000004681491,0.00001311702,0.000003913556,0.0004068434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9042037,"threshold_uncertainty_score":0.6023403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07094700655969377,"score_gpt":0.3172142980845092,"score_spread":0.2462672915248154,"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."}}