{"id":"W3025206777","doi":"10.1186/s12958-020-00605-z","title":"COVID-19 and assisted reproductive technology services: repercussions for patients and proposal for individualized clinical management","year":2020,"lang":"en","type":"article","venue":"Reproductive Biology and Endocrinology","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University","funders":"Vlaamse regering","keywords":"Fertility; Infertility; Pandemic; Reproductive medicine; Medicine; Assisted reproductive technology; Reproductive health; Limiting; Coronavirus disease 2019 (COVID-19); Health care; Reproductive technology; Reproductive endocrinology and infertility; Intensive care medicine; Family medicine; Gynecology; Environmental health; Population; Pregnancy; Economic growth; Biology; Internal medicine; Disease","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":[0.0005745098,0.000391205,0.001001763,0.0003262222,0.0004931019,0.00000945075,0.0001683214,0.000655305,0.00001114918],"category_scores_gemma":[0.004318737,0.0003130294,0.0001104238,0.00032958,0.002470216,0.00009532388,0.0005420302,0.0005372255,0.000002538746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005079678,"about_ca_system_score_gemma":0.0001637411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000646241,"about_ca_topic_score_gemma":0.000003137917,"domain_scores_codex":[0.9953919,0.0002382595,0.0006862761,0.002996225,0.00007238761,0.000614918],"domain_scores_gemma":[0.9979199,0.0002964816,0.0003328589,0.0007755442,0.000323309,0.0003518947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006956214,0.0009595694,0.7215534,0.001975929,0.002310038,0.00006281692,0.001247066,2.535856e-7,0.002739825,0.122923,0.001202377,0.1380695],"study_design_scores_gemma":[0.03389069,0.0190025,0.4705893,0.0002126807,0.002935721,0.002373729,0.005978285,0.00004862711,0.004384094,0.2157498,0.2433643,0.001470273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7921198,0.006763745,0.002589258,0.1885231,0.0007188696,0.007818368,0.0002367003,0.000736668,0.000493521],"genre_scores_gemma":[0.940904,0.003029576,0.05020232,0.003148404,0.000586367,0.00142175,0.0003024387,0.00006135268,0.0003437669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2509641,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131274317905355,"score_gpt":0.3778008329161242,"score_spread":0.3264880897370706,"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."}}