{"id":"W4287944056","doi":"","title":"Comparative analysis of Russian and international practice of liability insurance in medicine","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liability; Business; Actuarial science; Liability insurance; Law and economics; Economics; 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":[0.00411968,0.00006825564,0.0002096607,0.002919047,0.001050782,0.001756656,0.0002898835,0.0002676272,0.002145586],"category_scores_gemma":[0.01398142,0.0000965922,0.0001775485,0.004394802,0.002056553,0.000928945,0.001955245,0.0004286173,0.0001371507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002769093,"about_ca_system_score_gemma":0.002427129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007809051,"about_ca_topic_score_gemma":0.0150124,"domain_scores_codex":[0.9942963,0.003140146,0.0003842945,0.0003124155,0.001112705,0.0007541722],"domain_scores_gemma":[0.9872399,0.006680498,0.003448733,0.0006163408,0.001288834,0.0007257538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00028959,0.0001338465,0.6416861,0.0003162121,0.0001169554,0.000762704,0.1302365,0.0006539712,0.001438555,0.1192999,0.001292036,0.1037737],"study_design_scores_gemma":[0.000007388087,0.0001427777,0.936788,0.0001874906,0.00004380786,0.000618949,0.04837947,0.0002171814,0.0002995355,0.001424006,0.0118806,0.00001071248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779539,0.002068587,0.0003156714,0.0008726729,0.0000163478,0.000007975795,0.00005160989,0.000003258117,0.01871005],"genre_scores_gemma":[0.998978,0.0004753596,0.00008834421,0.00003623794,0.000009474846,0.000003220928,0.00002407878,0.000001820495,0.0003835036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007809051,"threshold_uncertainty_score":0.02178723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4521861428526935,"score_gpt":0.6503595404281843,"score_spread":0.1981733975754909,"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."}}