{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649507,0.0006296664,0.0004098672,0.0006135202,0.0005801241,0.0006803507,0.0007266253,0.0008588625,0.003596877],"category_scores_gemma":[0.003305886,0.0002298707,0.0004158579,0.0002765937,0.0005632848,0.001117131,0.0009518911,0.0005536318,0.001122956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006279509,"about_ca_system_score_gemma":0.0008719321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121742,"about_ca_topic_score_gemma":0.002292264,"domain_scores_codex":[0.9992466,0.0003812815,0.00005217381,0.00005861395,0.00009906753,0.0001622546],"domain_scores_gemma":[0.9985782,0.0005177303,0.00008280752,0.0001220818,0.000359308,0.0003398556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01151619,0.1078006,0.2296811,0.008751648,0.0005140119,0.01666457,0.0404625,0.037519,0.1154524,0.004815866,0.02255249,0.4042697],"study_design_scores_gemma":[0.007237452,0.2754861,0.3974752,0.000869902,0.0008499761,0.004876636,0.07370196,0.09813651,0.06712923,0.001664377,0.07212085,0.0004519078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938325,0.00006730662,0.002836138,0.0001493773,0.00002309944,0.00133224,0.0002333668,0.0001548527,0.001371098],"genre_scores_gemma":[0.9886235,0.0001997594,0.006577814,0.0001376621,0.00002856087,0.001494232,0.0005138568,0.00002903364,0.002395651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003596877,"threshold_uncertainty_score":0.01203275,"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."}}