{"id":"W3109815432","doi":"10.2196/24268","title":"Smartphone-Based Virtual Agents to Help Individuals With Sleep Concerns During COVID-19 Confinement: Feasibility Study","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Sleep and related disorders","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"LabEx BRAIN; Agence Nationale de la Recherche; Equipex","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sleep (system call); Telemedicine; Medicine; Psychology; Computer science; Virology; Health care; Disease; 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":[0.002376004,0.0005002302,0.0004897491,0.000694832,0.0007416009,0.0006969629,0.0004995034,0.0005922723,0.003363759],"category_scores_gemma":[0.005438883,0.0003462633,0.0007511449,0.0002437647,0.0003463984,0.0007503533,0.0009316675,0.0005382077,0.0005033991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005307341,"about_ca_system_score_gemma":0.001939357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00432974,"about_ca_topic_score_gemma":0.006715282,"domain_scores_codex":[0.9988426,0.0006262502,0.00008757624,0.0000862917,0.0001324799,0.0002248412],"domain_scores_gemma":[0.9977587,0.0009116421,0.0002514851,0.0001229136,0.0003686034,0.0005866328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01530393,0.1385478,0.4769962,0.004183459,0.0005041921,0.003703018,0.02865251,0.0008716857,0.00576904,0.0005124777,0.005976303,0.3189794],"study_design_scores_gemma":[0.006723444,0.1916706,0.7543881,0.0008672066,0.0006105285,0.001512939,0.02573546,0.003935233,0.001361727,0.0002600198,0.01277954,0.0001552251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955804,0.00009701119,0.0003106123,0.0001340629,0.00001771366,0.002990215,0.0002024683,0.00001741165,0.0006501465],"genre_scores_gemma":[0.9871976,0.0004425312,0.003661615,0.0002520308,0.00004434371,0.007248363,0.0003004402,0.000006517143,0.0008464963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00432974,"threshold_uncertainty_score":0.01256567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551749705979515,"score_gpt":0.4684538434448305,"score_spread":0.313278872846879,"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."}}