{"id":"W4312400077","doi":"10.2139/ssrn.4261687","title":"Sleep Disturbance During COVID-19: Correlates and Predictive Ability for Mental Health Symptomatology","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; RTDS Technologies (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Mental health; Disturbance (geology); Sleep disorder; Sleep (system call); Psychiatry; Psychology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Clinical psychology; Medicine; Insomnia; Internal medicine; Virology; Outbreak; Biology; 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":[0.0006155115,0.0004294884,0.0005377483,0.0009883204,0.0004631505,0.001004371,0.0004538498,0.0006390346,0.003101667],"category_scores_gemma":[0.003183127,0.0002351934,0.0006688882,0.001117232,0.0002481212,0.0004176019,0.001171218,0.0008864956,0.0006225891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004886707,"about_ca_system_score_gemma":0.0004315356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00670514,"about_ca_topic_score_gemma":0.01978236,"domain_scores_codex":[0.9995752,0.00007662604,0.0001032074,0.00006898624,0.00009886835,0.00007704525],"domain_scores_gemma":[0.9969577,0.0004501388,0.001578998,0.0001597043,0.0003257178,0.0005277066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003118756,0.00006042158,0.9975897,0.00001622055,0.0000706819,0.00004004984,0.00004177815,0.00003381004,0.0001792217,0.00001276669,0.000145534,0.001497924],"study_design_scores_gemma":[0.000004175147,0.00006774403,0.9996141,0.000005941731,0.000009013545,0.00005530246,0.00005442005,0.00005418701,0.00002009715,0.000005851103,0.0001066402,0.000002464759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931317,0.0006936218,0.0001160323,0.00008172003,0.00005298323,0.0000924095,0.003233816,0.00001437588,0.002583311],"genre_scores_gemma":[0.9944759,0.0003002074,0.0002179274,0.00006195479,0.00004210257,0.00006924508,0.004163163,0.00000761479,0.0006620453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00670514,"threshold_uncertainty_score":0.01333219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479536825015692,"score_gpt":0.350828056932429,"score_spread":0.336032688682272,"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."}}