{"id":"W4210470769","doi":"10.2196/preprints.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 (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"mHealth; Preprint; Coronavirus disease 2019 (COVID-19); Health care; Pandemic; Medicine; Business; Family medicine; Computer science; Political science; Nursing; Disease; World Wide Web; Infectious disease (medical specialty); Psychological intervention","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":[0.01359273,0.0003170028,0.0003965903,0.002515801,0.0009794777,0.002310341,0.0008480395,0.0007076599,0.00219642],"category_scores_gemma":[0.06246257,0.0003032404,0.0008456486,0.002910917,0.0007633406,0.002461992,0.001709298,0.000741442,0.0005381433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838047,"about_ca_system_score_gemma":0.002723805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008993882,"about_ca_topic_score_gemma":0.008193485,"domain_scores_codex":[0.9881256,0.007246924,0.00121867,0.0007627304,0.001897188,0.0007489015],"domain_scores_gemma":[0.9238576,0.05123717,0.01158157,0.00276793,0.008580087,0.001975613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008523233,0.001589345,0.8757265,0.0005871031,0.0002361207,0.0001903166,0.0496028,0.0004001565,0.001156255,0.0002522468,0.00208241,0.0673244],"study_design_scores_gemma":[0.00004742763,0.001766769,0.9607327,0.0001433155,0.00008825766,0.0001077133,0.03284895,0.001679548,0.0006710555,0.00005755214,0.001807778,0.00004876618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983109,0.00003067212,0.000373142,0.00009248657,0.000003954451,0.0002092307,0.00030608,0.00001898922,0.0006545224],"genre_scores_gemma":[0.9962938,0.00009110526,0.001839632,0.0001179698,0.00001641429,0.0006918643,0.0004839633,0.00002491925,0.0004402264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01359273,"threshold_uncertainty_score":0.07188612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2138862688517597,"score_gpt":0.5304223082312182,"score_spread":0.3165360393794584,"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."}}