{"id":"W3103897922","doi":"10.1016/j.euroneuro.2020.11.012","title":"Digital phenotyping and the COVID-19 pandemic: Capturing behavioral change in patients with psychiatric disorders","year":2020,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Hersenstichting; Leids Universitair Medisch Centrum; Universitair Medisch Centrum Groningen; ZonMw; GGZ Drenthe; GGZ Friesland; GGZ inGeest; Universiteit Leiden; Rijksuniversiteit Groningen; Amsterdam University Medical Centers","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Depression (economics); Schizophrenia (object-oriented programming); Major depressive disorder; Bipolar disorder; Medicine; Psychiatry; Telehealth; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Telemedicine; Internal medicine; Health care","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":[0.001191345,0.0002273948,0.0003044223,0.000904451,0.0003777267,0.001078146,0.0004135607,0.0005685881,0.002389443],"category_scores_gemma":[0.00950621,0.0001179161,0.0002731091,0.001040307,0.0003149069,0.0008423951,0.00175722,0.0010661,0.000353218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009206793,"about_ca_system_score_gemma":0.0009908935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005791473,"about_ca_topic_score_gemma":0.011527,"domain_scores_codex":[0.9991036,0.0004849566,0.00008706792,0.0001111591,0.0001182616,0.00009492903],"domain_scores_gemma":[0.9966549,0.001192555,0.001060409,0.0002206137,0.0003755144,0.0004960216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004318023,0.0006657955,0.8418015,0.0001993617,0.00008066132,0.00006765728,0.0009777456,0.0003560258,0.0002204837,0.0005189414,0.006402051,0.1482779],"study_design_scores_gemma":[0.00005604488,0.0004114544,0.9860529,0.0002859441,0.00007256925,0.0002012758,0.002018943,0.002234555,0.0004827504,0.001494777,0.006660005,0.0000288769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840509,0.001159105,0.001148749,0.004015651,0.0001720655,0.0001904983,0.002132972,0.00006063589,0.007069467],"genre_scores_gemma":[0.9922369,0.0009342511,0.003326713,0.001229915,0.00008933149,0.0003060405,0.001157906,0.00001419965,0.0007047693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005791473,"threshold_uncertainty_score":0.01151556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06074174370984261,"score_gpt":0.3647617479920011,"score_spread":0.3040200042821585,"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."}}