{"id":"W3067763881","doi":"10.2196/18513","title":"Mobile Health Apps for Medical Emergencies: Systematic Review","year":2020,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Industria, Energía y Turismo; European Commission","keywords":"App store; Android (operating system); mHealth; Systematic review; Computer science; World Wide Web; Mobile device; Mobile apps; Health care; Internet privacy; Multimedia; MEDLINE; Medicine; Psychological intervention; Nursing","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":[0.01051216,0.00206638,0.006817582,0.01297563,0.001048073,0.003335475,0.00208087,0.002334852,0.006911237],"category_scores_gemma":[0.05041982,0.001113885,0.008596512,0.01133135,0.0009349786,0.003600483,0.00212483,0.001594263,0.0006034419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004324972,"about_ca_system_score_gemma":0.01608845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006298766,"about_ca_topic_score_gemma":0.01832042,"domain_scores_codex":[0.9905297,0.003289849,0.0031373,0.000576603,0.002127923,0.0003385926],"domain_scores_gemma":[0.9672959,0.02274335,0.00569755,0.000492021,0.003402591,0.0003686452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001121214,0.00002288815,0.000405808,0.9693789,0.00317565,0.00008605626,0.0002102492,0.00005682511,0.00008411665,0.0001595595,0.001176965,0.02513078],"study_design_scores_gemma":[0.0001584968,0.0001795579,0.002124936,0.9473299,0.03325863,0.000270191,0.0003368591,0.00007177136,0.0001325338,0.0002259837,0.01588297,0.00002815737],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001014972,0.9963375,0.000271144,0.0003346656,0.0001562358,0.001108669,0.0003914725,0.00001417873,0.0003711884],"genre_scores_gemma":[0.01141137,0.9842301,0.001099307,0.0005366518,0.000127398,0.002138095,0.000266625,0.000006662723,0.0001837283],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01297563,"threshold_uncertainty_score":0.05559427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1608006568486209,"score_gpt":0.5525228303348344,"score_spread":0.3917221734862135,"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."}}