{"id":"W3126418019","doi":"10.14529/pro-prava200305","title":"LEGAL REGULATION OF GENETIC RESEARCHES IN THE RUSSIAN LEGISLATION IN THE CONTEXT OF THE PROBLEM OF GENDER VERIFICATION IN SPORT","year":2020,"lang":"en","type":"article","venue":"Issues of Law","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Foundation for Basic Research","keywords":"Legislation; Legislature; Legislator; Confidentiality; Context (archaeology); Political science; Genetic testing; Informed consent; Set (abstract data type); Law; Business; Medicine; Computer science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01396241,0.0002630005,0.0005282359,0.001263225,0.004639892,0.005579703,0.001520705,0.00618338,0.002823034],"category_scores_gemma":[0.01816313,0.0005095396,0.0007448707,0.001123863,0.009385103,0.001922441,0.002658767,0.004998934,0.000952886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004463584,"about_ca_system_score_gemma":0.01059095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351354,"about_ca_topic_score_gemma":0.01517669,"domain_scores_codex":[0.9868837,0.004932033,0.001137318,0.002471523,0.003249982,0.001325486],"domain_scores_gemma":[0.9878188,0.006551769,0.00150953,0.001647399,0.002000722,0.0004717993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004853221,0.00006439303,0.005605482,0.0001043048,0.00002306341,0.0005811855,0.008086986,0.0004925421,0.001611924,0.9587529,0.007984232,0.01664463],"study_design_scores_gemma":[0.0001125762,0.0002932636,0.05765754,0.001623989,0.0002134471,0.00229183,0.006454456,0.004908486,0.0049591,0.2745661,0.6466851,0.0002341598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.247168,0.009454174,0.03759306,0.09106018,0.002633278,0.0003650678,0.000845638,0.0003345598,0.610546],"genre_scores_gemma":[0.9173743,0.001786313,0.01031499,0.01384558,0.0006722869,0.0002566805,0.0001864055,0.00006360224,0.05549997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02351354,"threshold_uncertainty_score":0.07384121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08275861470235316,"score_gpt":0.2748730555663,"score_spread":0.1921144408639469,"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."}}