{"id":"W2160509738","doi":"10.2196/resprot.2293","title":"Mobile Emergency, an Emergency Support System for Hospitals in Mobile Devices: Pilot Study","year":2013,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Firenze","keywords":"Computer science; Emergency management; Medical emergency; Mobile device; Health care; Modalities; Contingency plan; Computer security; Medicine; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.00347608,0.0002436365,0.0003164961,0.0004008163,0.0002354991,0.000337124,0.002472176,0.00008555246,0.0003772617],"category_scores_gemma":[0.0001190363,0.0002246651,0.00006503136,0.00109942,0.00002701938,0.002244155,0.0006069588,0.0004576005,0.0002019121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430771,"about_ca_system_score_gemma":0.0001246055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003022705,"about_ca_topic_score_gemma":0.00004572911,"domain_scores_codex":[0.9962335,0.0005002102,0.0007022573,0.0008110075,0.0008457935,0.0009072926],"domain_scores_gemma":[0.9973192,0.0001852848,0.00015335,0.001459453,0.0006102065,0.0002724569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008907935,0.04751409,0.3104505,0.01475999,0.0003120846,0.0003500633,0.02873886,0.000806933,0.01111865,0.01689401,0.2384531,0.329711],"study_design_scores_gemma":[0.005578835,0.2877055,0.07677131,0.001854207,0.000009713214,0.00004378545,0.005911471,0.02791868,0.003015702,0.006047434,0.5820625,0.003080838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.04864333,0.00002379577,0.02090717,0.00003904038,0.00009104388,0.9286519,0.000008891514,0.001134809,0.0005000655],"genre_scores_gemma":[0.2479028,0.000003088766,0.008437002,0.00000386722,0.00008512934,0.7432972,0.000003229405,0.00003601573,0.0002317527],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.3436095,"threshold_uncertainty_score":0.9161579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1826608051493276,"score_gpt":0.5048393644434422,"score_spread":0.3221785592941147,"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."}}