{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004755332,0.0001271275,0.0001312454,0.0003568995,0.001134312,0.0005517477,0.000228895,0.0002903637,0.005145405],"category_scores_gemma":[0.00149222,0.00009926019,0.0001826842,0.0003064908,0.0002169874,0.0003199052,0.0009447464,0.0004211656,0.0002766644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008018952,"about_ca_system_score_gemma":0.0005510865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05163366,"about_ca_topic_score_gemma":0.09039488,"domain_scores_codex":[0.999818,0.00005739111,0.00001302962,0.00002452997,0.00002893343,0.00005812059],"domain_scores_gemma":[0.9992025,0.000108172,0.0003417325,0.00003953594,0.0001365404,0.0001715219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001100803,0.00006066587,0.9822725,0.00006909113,0.00004498066,0.0001998564,0.003739164,0.00003305825,0.0003024908,0.00007553094,0.004857192,0.008235529],"study_design_scores_gemma":[0.000004140531,0.00004219586,0.9882342,0.00004074895,0.000005349383,0.00005144586,0.0091815,0.00003513352,0.00004111306,0.0000176716,0.002343334,0.000003202095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953008,0.0001938008,0.00005843074,0.0004842164,0.00002925651,0.0000332948,0.001553451,0.000005035154,0.002341609],"genre_scores_gemma":[0.9958053,0.0003447841,0.0001552639,0.000199622,0.0000366017,0.00008615016,0.001467576,0.000002807066,0.001901914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05163366,"threshold_uncertainty_score":0.1026663,"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."}}