{"id":"W4395667788","doi":"10.52026/2788-5291_2023_73_2_53","title":"PROFESSIONAL LIABILITY INSURANCE OF MEDICAL WORKERS IN THE REPUBLIC OF KAZAKHSTAN","year":2023,"lang":"en","type":"article","venue":"Bulletin of Institute of Legislation and Legal Information of the Republic of Kazakhstan","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Liability; Liability insurance; Actuarial science; Accounting","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":[0.002055374,0.00009485581,0.0001370216,0.001405544,0.001974096,0.00216407,0.0003701162,0.0009536766,0.002051948],"category_scores_gemma":[0.003265215,0.0001207518,0.0002063855,0.0009633491,0.001125844,0.0007532473,0.00147215,0.0007204638,0.000260348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002469858,"about_ca_system_score_gemma":0.006427914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079884,"about_ca_topic_score_gemma":0.01010211,"domain_scores_codex":[0.9982631,0.0006200676,0.0002116297,0.00008703848,0.000416611,0.0004015873],"domain_scores_gemma":[0.9985039,0.0006833374,0.0004589189,0.00006624468,0.0001891994,0.00009857269],"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":[0.0001940297,0.0002602865,0.1328642,0.001366228,0.00004933907,0.00639146,0.03058138,0.004023541,0.004516443,0.5039105,0.02858355,0.287259],"study_design_scores_gemma":[0.00004354028,0.0003991289,0.3168702,0.003115205,0.0001369296,0.01319306,0.04070498,0.004484928,0.002815145,0.09111694,0.5269631,0.0001567973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.706105,0.04931662,0.005676299,0.03079293,0.0005750979,0.0001614412,0.0002861997,0.00008769926,0.2069988],"genre_scores_gemma":[0.9844273,0.008260623,0.001196996,0.0011361,0.0001268137,0.00002100639,0.00007848267,0.00000304134,0.004749665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079884,"threshold_uncertainty_score":0.02147198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967482679587116,"score_gpt":0.3750666495451427,"score_spread":0.3353918227492715,"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."}}