{"id":"W4388978533","doi":"10.1101/2023.11.24.23298980","title":"Maternal and perinatal health research during emerging and ongoing epidemic threats: a landscape analysis and expert consultation","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; University of Cape Town; Hospital for Sick Children; Monash University; United States Agency for International Development; University of Birmingham; University of Oxford; Canadian Institutes of Health Research; University of Washington; Imperial College London; Centers for Disease Control and Prevention; Centre Hospitalier Universitaire Vaudois; UNICEF; Yale University; Khon Kaen University; Emory University; Johns Hopkins University; Bill and Melinda Gates Foundation","keywords":"Preparedness; Pandemic; Population; Medicine; Health care; Disease; Political science; Environmental health; Public relations; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07396876,0.0006236206,0.001165628,0.01910235,0.004872682,0.009257156,0.003000619,0.003519481,0.0046154],"category_scores_gemma":[0.08170464,0.0006912829,0.001674368,0.01844375,0.003958277,0.007437357,0.009260516,0.001934429,0.0006488155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01451674,"about_ca_system_score_gemma":0.02404557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01631272,"about_ca_topic_score_gemma":0.03509481,"domain_scores_codex":[0.9117931,0.07236414,0.005607989,0.002402368,0.004599011,0.003233427],"domain_scores_gemma":[0.8934045,0.0839159,0.00524258,0.002760772,0.01237073,0.002305567],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002230777,0.0001583321,0.02721275,0.04087288,0.0005225532,0.01029729,0.5488965,0.002580095,0.004287164,0.03049349,0.05727093,0.2771849],"study_design_scores_gemma":[0.0000637949,0.0001605793,0.02507761,0.04052215,0.0005271986,0.001812845,0.6418303,0.002072291,0.001178545,0.02289399,0.2636489,0.0002118592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4557487,0.07458546,0.06756929,0.2597298,0.001440912,0.01218229,0.01274398,0.0008091669,0.1151903],"genre_scores_gemma":[0.8483568,0.03155905,0.09892727,0.009550564,0.0002505876,0.005431227,0.002548059,0.0001710369,0.003205341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9260312,"threshold_uncertainty_score":0.3911889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553200195192791,"score_gpt":0.4631504813563209,"score_spread":0.3078304618370418,"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."}}