{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002440212,0.00009592464,0.0001492522,0.0000762995,0.0001010948,0.00003753887,0.0000311394,0.0000299584,0.0000228939],"category_scores_gemma":[0.0002872924,0.00006538841,0.00001336238,0.0001360132,0.0001835932,0.0003664868,0.00008124687,0.0001272498,0.000002839489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006018237,"about_ca_system_score_gemma":0.0000547824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454405,"about_ca_topic_score_gemma":0.00002124035,"domain_scores_codex":[0.9993525,0.00004013069,0.0001886392,0.0001461892,0.0001127595,0.0001598419],"domain_scores_gemma":[0.9994732,0.00004337242,0.00008289121,0.0001147647,0.00002631653,0.0002595166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007745888,0.0000416378,0.9031169,0.000325805,0.00002138296,0.000002774362,0.05051924,0.000003925629,0.0001076828,0.00002598979,0.00001834245,0.04504167],"study_design_scores_gemma":[0.001213035,0.0003020663,0.9883366,0.00003022962,0.00001283491,0.000009473503,0.005890454,0.000757415,0.00002324685,0.00004962668,0.003303526,0.00007147197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977991,0.0008757249,0.000005249136,0.0008296269,0.00002480196,0.0002989755,0.0000683692,0.00002618904,0.00007198352],"genre_scores_gemma":[0.9981849,0.001483877,0.000008019967,0.0001328049,0.00005334029,0.00002516333,0.00001242238,0.000006072001,0.00009342478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08521966,"threshold_uncertainty_score":0.2666462,"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."}}