{"id":"W4400812816","doi":"10.1007/s43032-024-01649-x","title":"Assisted Reproductive Technology During COVID-19: A Population-Based Study Of Pregnancy Outcomes","year":2024,"lang":"en","type":"article","venue":"Reproductive Sciences","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Université de Sherbrooke; Université de Montréal; Institut National de Santé Publique du Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Reproductive medicine; Reproductive technology; Pregnancy; Reproductive biology; Assisted reproductive technology; 2019-20 coronavirus outbreak; Medicine; Population; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Gynecology; Obstetrics; Biology; Virology; Internal medicine; Infertility; Infectious disease (medical specialty); Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00139736,0.0003661015,0.0005610305,0.001361789,0.001033446,0.001359462,0.0007211892,0.001042367,0.002256508],"category_scores_gemma":[0.005391486,0.0004820326,0.0006522997,0.003147427,0.000422699,0.0008475367,0.001636386,0.001582823,0.000518239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008390009,"about_ca_system_score_gemma":0.001008731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01908256,"about_ca_topic_score_gemma":0.01900426,"domain_scores_codex":[0.9984823,0.0003462412,0.0001498243,0.0003666606,0.000322,0.0003329962],"domain_scores_gemma":[0.9969807,0.0005223145,0.001234647,0.0003265237,0.0003641498,0.0005716492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001413244,0.00007485365,0.9979628,0.00001250517,0.00004902739,0.00005823018,0.0001368105,0.00001390009,0.00007861447,0.00003217246,0.0003145605,0.001125158],"study_design_scores_gemma":[0.0000107839,0.0001109348,0.9988769,0.00002049828,0.00002955716,0.0001669476,0.0003470612,0.00004662188,0.00001953378,0.00001570413,0.0003481865,0.000007260834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927422,0.0007059142,0.000169417,0.000110009,0.00002494063,0.00006610918,0.00459943,0.000006981572,0.001575055],"genre_scores_gemma":[0.9954576,0.00042692,0.0001700681,0.0001499824,0.00003154776,0.0001000155,0.003020693,0.00001166763,0.0006314615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01908256,"threshold_uncertainty_score":0.03794295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0679557771517203,"score_gpt":0.4109614026110023,"score_spread":0.343005625459282,"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."}}