{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0104184,0.001538403,0.01304214,0.0005017925,0.00368743,0.00002447,0.001284798,0.001769775,0.0005635128],"category_scores_gemma":[0.002367073,0.00120423,0.0009648566,0.001668049,0.0002016615,0.0001328093,0.0003776463,0.004275993,0.00102486],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708475,"about_ca_system_score_gemma":0.04033114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002593496,"about_ca_topic_score_gemma":0.0001770753,"domain_scores_codex":[0.9769921,0.004744544,0.01066763,0.002231292,0.001452028,0.003912435],"domain_scores_gemma":[0.9783672,0.003678272,0.006794439,0.001888663,0.0004674545,0.008803937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001276561,0.00008204779,9.393016e-7,0.5762062,0.0000440006,0.000002178311,0.0002706512,6.11247e-9,4.60992e-10,0.002613789,0.09886845,0.3218989],"study_design_scores_gemma":[0.0004725834,0.0006862933,4.34781e-7,0.4135831,0.0009610092,0.00003584055,0.0002199538,0.00001702963,5.634965e-10,0.00008535449,0.5835391,0.0003992889],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.632225e-7,0.8664593,0.0004285326,0.005415419,0.001277974,0.1242265,0.001240866,0.0005354995,0.0004157546],"genre_scores_gemma":[5.350341e-7,0.6555786,0.0003967811,0.03819756,0.001016823,0.3026959,0.001193467,0.0002401275,0.0006801602],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4846706,"threshold_uncertainty_score":0.9997529,"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."}}