{"id":"W4290730686","doi":"10.3389/frph.2022.949365","title":"Menstrual cycles during COVID-19 lockdowns: A systematic review and meta-analysis","year":2022,"lang":"en","type":"review","venue":"Frontiers in Reproductive Health","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eidgenössische Technische Hochschule Zürich","keywords":"Menstrual cycle; Confidence interval; Meta-analysis; Cochrane Library; Medicine; Odds ratio; MEDLINE; Cohort study; Demography; Cohort; Coronavirus disease 2019 (COVID-19); Disease; Internal medicine; Biology","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":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01100546,0.001096134,0.02326385,0.002772814,0.0004411653,0.00004379208,0.0003810888,0.0002386198,0.0004568854],"category_scores_gemma":[0.01830067,0.0008399266,0.003128568,0.005022934,0.0002433693,0.0001788769,0.000332996,0.001559026,0.000008859627],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007155371,"about_ca_system_score_gemma":0.003695548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006170999,"about_ca_topic_score_gemma":0.00002920906,"domain_scores_codex":[0.9860539,0.003691487,0.004663369,0.003625307,0.001097494,0.0008684421],"domain_scores_gemma":[0.9887716,0.0003168414,0.005703209,0.004220996,0.0001316518,0.000855742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00002931266,0.0001533678,0.00006341917,0.8971355,0.09499505,0.00007423903,0.0004464856,0.000009855298,1.574469e-8,0.000009398602,0.003872991,0.00321034],"study_design_scores_gemma":[0.0003230362,0.0001623951,0.00003035565,0.01675088,0.7135115,0.0009283914,0.0004755172,0.000002230481,1.039967e-7,0.00005616169,0.2671766,0.0005829077],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001642218,0.9710519,0.0003232732,0.01174304,0.0004135552,0.01600893,0.0002456214,0.0001808483,0.00003124001],"genre_scores_gemma":[0.000002957694,0.9887089,0.001818789,0.003883668,0.0001840407,0.003456597,0.0003069826,0.0001384396,0.001499698],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8803846,"threshold_uncertainty_score":0.9994051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644213935951091,"score_gpt":0.4463822111763672,"score_spread":0.2819608175812581,"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."}}