{"id":"W3157403650","doi":"10.1093/sleep/zsab072.197","title":"198 COVID-19 Pandemic Nightmares at the US-Mexico Border","year":2021,"lang":"en","type":"article","venue":"SLEEP","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Mental health; Pandemic; Anxiety; Demography; Psychology; Population; Odds ratio; Logistic regression; Nightmare; Psychiatry; Depression (economics); Odds; Medicine; Coronavirus disease 2019 (COVID-19); Clinical psychology; Internal medicine; Sociology; Disease","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002616981,0.0001400112,0.0001601262,0.00003657497,0.0003349717,0.00001933077,0.0001995005,0.0001140772,0.0204606],"category_scores_gemma":[0.00009603821,0.0001021045,0.00009760331,0.0002092547,0.0001039829,0.00003050011,0.0001611161,0.0002109882,0.002111937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005685533,"about_ca_system_score_gemma":0.0002845009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979485,"about_ca_topic_score_gemma":0.007941675,"domain_scores_codex":[0.9985196,0.000247676,0.0002176573,0.00039186,0.0001944297,0.0004287921],"domain_scores_gemma":[0.99875,0.0002895081,0.00006409069,0.0006098457,0.00002960232,0.0002569059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000279734,0.0003335236,0.7441119,0.0001154314,0.0001130323,0.0002831469,0.006961526,0.00004232401,0.0008645114,0.005549873,0.2008438,0.04050115],"study_design_scores_gemma":[0.0008866646,0.00004662153,0.04400047,0.000005482895,0.00002324304,0.00009292423,0.0007299689,0.00001247879,0.0001463713,0.0005728013,0.9533529,0.0001300295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232337,0.008096395,0.0003624301,0.02065979,0.002902517,0.0004173341,0.00009905657,0.0001856231,0.04404309],"genre_scores_gemma":[0.8636448,0.0002006324,0.00002653297,0.06549414,0.0002748548,0.00007819455,0.00009674678,0.00002822878,0.07015586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7525091,"threshold_uncertainty_score":0.998665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07200718121761047,"score_gpt":0.4390014181616524,"score_spread":0.3669942369440419,"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."}}