{"id":"W3028920883","doi":"10.1016/j.wombi.2020.05.010","title":"The outbreak of coronavirus disease in China: Risk perceptions, knowledge, and information sources among prenatal and postnatal women","year":2020,"lang":"en","type":"article","venue":"Women and Birth","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Nanjing Medical University; Government of Jiangsu Province","keywords":"Outbreak; China; Disease; Coronavirus; Environmental health; Coronavirus disease 2019 (COVID-19); Medicine; Pregnancy; Virology; Infectious disease (medical specialty); Geography; Biology; Internal medicine; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008603156,0.0002641011,0.0002489338,0.0006763132,0.001011601,0.0006364999,0.0002689948,0.0004539728,0.001766561],"category_scores_gemma":[0.003481093,0.000257295,0.0002551297,0.0009034507,0.0003869628,0.0007772449,0.0007514814,0.0004352956,0.0001033716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009057904,"about_ca_system_score_gemma":0.001820122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04360453,"about_ca_topic_score_gemma":0.03648075,"domain_scores_codex":[0.9995746,0.0000972071,0.0000508519,0.00005893784,0.0001032007,0.0001152276],"domain_scores_gemma":[0.9987465,0.0003907743,0.0004372015,0.00003089342,0.0001211929,0.0002733765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003731117,0.00006769512,0.9719054,0.00007123771,0.00001789629,0.0003490989,0.02198697,0.00001896697,0.0002994127,0.00004666068,0.0001860153,0.005013144],"study_design_scores_gemma":[0.000007505118,0.0001689756,0.9553462,0.00008983285,0.0000274171,0.0002306327,0.04305583,0.0001637118,0.0000825165,0.00006194309,0.0007524759,0.00001313823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991787,0.0001350574,0.00001231288,0.0002215921,0.000003060073,0.00001080716,0.00005357692,5.393922e-7,0.0003842977],"genre_scores_gemma":[0.9992661,0.0003066114,0.00003595508,0.0001087065,0.000005389974,0.00001692018,0.0000533579,5.553705e-7,0.0002064677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04360453,"threshold_uncertainty_score":0.08670145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009392611086218135,"score_gpt":0.265830822449578,"score_spread":0.2564382113633598,"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."}}