{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001716914,0.0003212573,0.000679259,0.00182583,0.0004628817,0.00006393372,0.0002977869,0.0001111364,0.00009122426],"category_scores_gemma":[0.01569709,0.0002503984,0.0001584179,0.005105133,0.0005926729,0.0004433325,0.000129961,0.0003339762,0.00001556542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006673155,"about_ca_system_score_gemma":0.001201789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009230727,"about_ca_topic_score_gemma":0.00005283803,"domain_scores_codex":[0.9948395,0.0001873297,0.0007155292,0.002818537,0.001005002,0.0004340571],"domain_scores_gemma":[0.9970073,0.0002317285,0.0003124926,0.001879027,0.0003851941,0.0001842697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001338925,0.001207189,0.9719974,0.0006270992,0.0002115585,0.0001208564,0.002604543,0.001322807,0.0173975,0.0004282428,0.00003301696,0.003915862],"study_design_scores_gemma":[0.001031918,0.001473521,0.9759739,0.0003742485,0.0002337583,0.0001644621,0.004884333,0.000140815,0.01351517,0.001780179,0.0001293438,0.0002983448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677612,0.001468926,0.0001589245,0.02652956,0.000868974,0.002267095,0.000009822914,0.0007354222,0.0002000394],"genre_scores_gemma":[0.9977267,0.000006856581,0.0009108092,0.00008809185,0.0002267609,0.000108996,0.000006073813,0.00003263659,0.0008930165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02996553,"threshold_uncertainty_score":0.9999948,"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."}}