{"id":"W4401358374","doi":"10.1371/journal.pone.0308327","title":"The impact of prenatal mental health on birth outcomes before and during the COVID-19 pandemic in Anhui, China","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Victoria; University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates; National Natural Science Foundation of China","keywords":"Medicine; Anxiety; Cohort; Depression (economics); Pandemic; Cohort study; Mental health; Gestational age; Edinburgh Postnatal Depression Scale; Prenatal care; Birth weight; Pregnancy; Psychiatry; Pediatrics; Obstetrics; Coronavirus disease 2019 (COVID-19); Environmental health; Population; Internal medicine; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009421679,0.0003803252,0.0003191741,0.0007519696,0.0009895741,0.0005431885,0.0005092735,0.000428257,0.0006795838],"category_scores_gemma":[0.002093471,0.000265316,0.0006242683,0.0009459844,0.0005591137,0.0005298654,0.0009989419,0.0008387583,0.00004866147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002263708,"about_ca_system_score_gemma":0.00247264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1634698,"about_ca_topic_score_gemma":0.1918107,"domain_scores_codex":[0.9992182,0.0001754564,0.00007162321,0.0001505694,0.0001043206,0.0002797917],"domain_scores_gemma":[0.9984246,0.0002230193,0.0005057514,0.0001015986,0.0001990936,0.0005459623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005821855,0.00003313531,0.9963104,0.00001850436,0.00006094599,0.0001413409,0.0005492988,0.00008762706,0.000143832,0.00005666835,0.0001371133,0.002402968],"study_design_scores_gemma":[0.00000150447,0.0000196994,0.9994759,0.000006230504,0.00000837713,0.0000150107,0.0003064486,0.00009518473,0.00001252668,0.00001143323,0.00004520392,0.000002608356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99913,0.0001702182,0.00002698712,0.0001989521,0.000008826918,0.000009388958,0.0002287266,0.000001314262,0.0002256834],"genre_scores_gemma":[0.9993224,0.0001452957,0.00003594515,0.00006090858,0.00001027792,0.00001557483,0.0003042564,9.904783e-7,0.0001043301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1634698,"threshold_uncertainty_score":0.3250366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947060499399543,"score_gpt":0.3446882474213422,"score_spread":0.3052176424273468,"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."}}