{"id":"W3202625336","doi":"10.2196/32587","title":"Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Chief Scientist Office, Scottish Government Health and Social Care Directorate; Innovative Medicines Initiative; NIHR Maudsley Biomedical Research Centre; Public Health Agency; European Society of Cardiology; Economic and Social Research Council; European Commission; National Institute for Health Research Applied Research Collaboration South London; Department of Health and Social Care; Health and Social Care Research and Development Division; National Institute for Health and Care Research; King's College London; Engineering and Physical Sciences Research Council; UK Research and Innovation; British Heart Foundation; European Federation of Pharmaceutical Industries and Associations; University College London; Scottish Government; King's College Hospital NHS Foundation Trust; Wellcome Trust; South London and Maudsley NHS Foundation Trust","keywords":"Telemedicine; Mental health; Data collection; Pandemic; mHealth; Wearable computer; Mobile phone; Computer science; Observational study; Internet privacy; Psychology; Coronavirus disease 2019 (COVID-19); Health care; Applied psychology; Medicine; Psychological intervention; Telecommunications; Disease; Psychiatry; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03317661,0.003251245,0.004183058,0.00210636,0.004955581,0.003222826,0.002458384,0.004727965,0.04793445],"category_scores_gemma":[0.03012602,0.003250102,0.00309135,0.002794062,0.002653518,0.00298493,0.002346067,0.005503342,0.01437386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00581887,"about_ca_system_score_gemma":0.02156785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009366941,"about_ca_topic_score_gemma":0.01259545,"domain_scores_codex":[0.9852916,0.008004495,0.002315013,0.001731893,0.001313674,0.001343381],"domain_scores_gemma":[0.9801376,0.00421905,0.003359501,0.003454645,0.006807572,0.002021544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3438666,0.05937995,0.02684265,0.05342016,0.00274399,0.002295377,0.01053063,0.006929493,0.006996537,0.01793335,0.3139288,0.1551325],"study_design_scores_gemma":[0.3278029,0.07577076,0.09792742,0.02470914,0.001266568,0.0005835974,0.006457358,0.006183827,0.004029098,0.01590559,0.4383621,0.001001657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002635117,0.0001743242,0.001990504,0.0002518144,0.0002175155,0.9897216,0.004093261,0.00006689437,0.00084896],"genre_scores_gemma":[0.001077654,0.00004246971,0.001143768,0.0001119118,0.00001852217,0.9972026,0.0002467843,0.000003622074,0.000152673],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04793445,"threshold_uncertainty_score":0.1754568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8042957195382001,"score_gpt":0.7080398181319155,"score_spread":0.0962559014062846,"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."}}