{"id":"W3010351777","doi":"10.21508/1027-4065-2020-65-1-45-50","title":"Information-analytical assessment systems for perinatal outcomes and children’s health status born by assisted reproductive technologies","year":2020,"lang":"en","type":"article","venue":"Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics)","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Family Medicine","funders":"","keywords":"Computer science; Field (mathematics); Database; Relational database; Information system; Relational database management system; Health care; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006352463,0.0006916557,0.001878539,0.0004505834,0.0006044499,0.00007561695,0.0003404552,0.0009689025,0.00004932109],"category_scores_gemma":[0.002329281,0.000598419,0.0002425773,0.0005100705,0.001660452,0.0002070406,0.0004645122,0.001191555,0.00001092775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343586,"about_ca_system_score_gemma":0.0004871828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001126851,"about_ca_topic_score_gemma":0.00000103327,"domain_scores_codex":[0.9958178,0.0002023702,0.001335236,0.001243883,0.0003974512,0.001003243],"domain_scores_gemma":[0.9972225,0.000400141,0.0009113643,0.0007387305,0.0002874207,0.000439867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007710513,0.0003970068,0.9365753,0.002510188,0.0004523998,0.00003927677,0.0007147838,0.000004143091,0.000007706629,0.03279105,0.01078557,0.0149515],"study_design_scores_gemma":[0.007186427,0.004633504,0.8046957,0.00007912889,0.0007602677,0.001313998,0.004315652,0.0002196442,0.0001144299,0.000394838,0.1751464,0.001140096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587472,0.04913964,0.001200319,0.08504349,0.0004475619,0.002878898,0.001014463,0.0009301048,0.0005982485],"genre_scores_gemma":[0.9879561,0.006893178,0.003827416,0.0004663002,0.0001348721,0.0003217527,0.0002041724,0.00005067023,0.0001455137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1643608,"threshold_uncertainty_score":0.9996467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211264923417526,"score_gpt":0.2833700122206856,"score_spread":0.2712573629865104,"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."}}