{"id":"W3046412814","doi":"10.2196/20025","title":"Using mHealth to Increase the Reach of Local Guidance to Health Professionals as Part of an Institutional Response Plan to the COVID-19 Outbreak: Usage Analysis Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"mHealth; Pandemic; Health care; Telehealth; Medicine; Coronavirus disease 2019 (COVID-19); Telemedicine; Multidisciplinary approach; Business; Medical emergency; Environmental health; Family medicine; Disease; Nursing; Political science; Infectious disease (medical specialty); Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01554801,0.0004523118,0.0004854715,0.004141993,0.0006672592,0.002028734,0.000850849,0.0007489895,0.001098053],"category_scores_gemma":[0.08299987,0.0002775505,0.0009895962,0.003470231,0.0006992616,0.002643098,0.001889898,0.0007329289,0.000265438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677338,"about_ca_system_score_gemma":0.002426661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005681555,"about_ca_topic_score_gemma":0.004485963,"domain_scores_codex":[0.9798624,0.0134417,0.001619863,0.001145228,0.00302471,0.000905947],"domain_scores_gemma":[0.8850489,0.07808985,0.01796272,0.005471708,0.01107383,0.002352935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009403267,0.001091184,0.8752602,0.0006588694,0.0004188317,0.0002157148,0.01843277,0.0009106465,0.001499217,0.0002642598,0.0008015145,0.0995065],"study_design_scores_gemma":[0.0000702201,0.002434287,0.9711136,0.0002110238,0.000249352,0.0003099148,0.01371734,0.007893357,0.001187617,0.000156533,0.002592443,0.0000644551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976527,0.00007921489,0.0008092021,0.0001013118,0.000003418321,0.0002209104,0.000250773,0.00003578936,0.0008467125],"genre_scores_gemma":[0.9963915,0.0001037228,0.002555727,0.00006735551,0.00001081504,0.0003268537,0.0003112691,0.00002242739,0.0002103767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01554801,"threshold_uncertainty_score":0.08222669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2185465471629455,"score_gpt":0.5351033544522003,"score_spread":0.3165568072892547,"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."}}