{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008400023,0.0007630563,0.0009503076,0.008255307,0.0006204962,0.003873359,0.001729722,0.0005686968,0.004412],"category_scores_gemma":[0.02021413,0.0002851319,0.0008342742,0.007448528,0.0004194531,0.002830392,0.001921604,0.0005271045,0.001699226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341569,"about_ca_system_score_gemma":0.003018944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005193666,"about_ca_topic_score_gemma":0.002337504,"domain_scores_codex":[0.992946,0.002211445,0.001657963,0.00119605,0.001767507,0.0002211328],"domain_scores_gemma":[0.9839889,0.005536075,0.002319991,0.002643543,0.004831746,0.0006797368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00135174,0.0006814199,0.238903,0.001926981,0.000595233,0.0004599385,0.001570293,0.008553852,0.005336532,0.02158676,0.03680088,0.6822335],"study_design_scores_gemma":[0.000733646,0.001452107,0.4958172,0.002762888,0.001509198,0.003261391,0.003423742,0.1419005,0.03449615,0.04764173,0.2665272,0.0004742583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.22244,0.009516146,0.6033627,0.006380274,0.0006385808,0.004408267,0.07855426,0.03219451,0.04250521],"genre_scores_gemma":[0.5861043,0.002626753,0.3505687,0.0007032362,0.0003765973,0.002058827,0.05176835,0.0003883643,0.00540471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008400023,"threshold_uncertainty_score":0.04442412,"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."}}