{"id":"W4399894079","doi":"10.1016/b978-0-323-95650-5.00025-2","title":"Prepandemic stressors in mental health responses to the COVID-19 pandemic: Early life adversities and beyond","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Pandemic; Stressor; Coronavirus disease 2019 (COVID-19); Mental health; 2019-20 coronavirus outbreak; Medicine; Psychology; Environmental health; Psychiatry; Virology; Disease; Internal medicine; Outbreak; Infectious disease (medical specialty)","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":[0.0003006338,0.0002829552,0.000199549,0.0003209114,0.0008809067,0.002596771,0.0003997888,0.001256507,0.0149188],"category_scores_gemma":[0.0005695978,0.0001294606,0.0001330197,0.0005564826,0.0009367102,0.001689516,0.001269958,0.002188741,0.001592338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117495,"about_ca_system_score_gemma":0.002950746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255755,"about_ca_topic_score_gemma":0.03590513,"domain_scores_codex":[0.9999232,0.00003212542,0.000002704782,0.000006998755,0.00001523985,0.00001963992],"domain_scores_gemma":[0.9997995,0.0001053835,0.00001578487,0.000004750279,0.0000187334,0.00005587364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006527315,0.0001745956,0.003729636,0.0005232503,0.00001267697,0.0007539663,0.01530336,0.0002814361,0.0005461602,0.2242853,0.3910573,0.363267],"study_design_scores_gemma":[0.000005866183,0.00005632586,0.01152819,0.001705663,0.000005543518,0.0004789899,0.01365645,0.00009631859,0.00008619068,0.04401351,0.9283502,0.00001673752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01368394,0.2675349,0.001562044,0.1036414,0.007101341,0.00007582265,0.0004410256,0.00004896473,0.6059107],"genre_scores_gemma":[0.1295552,0.4335181,0.002544837,0.02821654,0.006299624,0.0002283006,0.0004297685,0.00006077982,0.3991468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0149188,"threshold_uncertainty_score":0.0499084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04130159540458889,"score_gpt":0.3301484260932568,"score_spread":0.2888468306886679,"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."}}