{"id":"W3205613401","doi":"10.2196/26041","title":"Digital mHealth and Virtual Care Use During COVID-19 in 4 Countries: Rapid Landscape Review","year":2021,"lang":"en","type":"review","venue":"JMIR Formative Research","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"Grand Challenges Canada","keywords":"mHealth; Psychological intervention; Health care; Contact tracing; Telemedicine; Pandemic; Public health; Business; Digital health; Government (linguistics); Internet privacy; Nursing; Medicine; Public relations; Coronavirus disease 2019 (COVID-19); Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.005605375,0.0006694424,0.002436419,0.01121553,0.0005975087,0.003196309,0.001476072,0.002085564,0.00430898],"category_scores_gemma":[0.01962698,0.0005937421,0.002318156,0.01224905,0.001198345,0.003752587,0.001994596,0.001465635,0.0004102676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002641098,"about_ca_system_score_gemma":0.01079614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009451371,"about_ca_topic_score_gemma":0.01661579,"domain_scores_codex":[0.9966788,0.001028718,0.001137307,0.0002866382,0.0006638013,0.0002047784],"domain_scores_gemma":[0.9678407,0.02485384,0.003593476,0.0002858606,0.002934592,0.0004916077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001872701,0.00006376597,0.001478133,0.3720852,0.0008848305,0.0001606016,0.001074341,0.0002047292,0.0002232211,0.002429786,0.008626627,0.6125815],"study_design_scores_gemma":[0.00005954721,0.0003586061,0.008464552,0.7474311,0.004882152,0.0009827722,0.002208206,0.0002166334,0.0003073959,0.001014659,0.2340064,0.000068172],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005480724,0.9979894,0.00006722584,0.0006003476,0.00008460685,0.00003956053,0.00008063931,0.000004530378,0.0005855649],"genre_scores_gemma":[0.003523066,0.9956908,0.0001758492,0.0003984048,0.00005668363,0.00003957314,0.00005840906,0.000002637956,0.00005465391],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01121553,"threshold_uncertainty_score":0.02964437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397645333416941,"score_gpt":0.4649844065662948,"score_spread":0.3252198732246008,"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."}}