{"id":"W2994805486","doi":"10.2196/16114","title":"Mobile App Support for Cardiopulmonary Resuscitation: Development and Usability Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Cardiopulmonary resuscitation; mHealth; Mobile apps; Mobile phone; Medicine; Medical emergency; Computer science; Resuscitation; World Wide Web; Emergency medicine; Psychological intervention; Nursing; Human–computer interaction; Telecommunications","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":[0.0009964663,0.0001416735,0.0004007033,0.00009354748,0.0002196402,0.00001601804,0.0000286284,0.00007916028,0.00000965068],"category_scores_gemma":[0.00002736913,0.0001179291,0.0000478427,0.0001278687,0.00004812056,0.00007453305,0.00002971378,0.0001386789,0.0000126984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116876,"about_ca_system_score_gemma":0.0005675032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003349853,"about_ca_topic_score_gemma":0.0000175239,"domain_scores_codex":[0.9985186,0.00006913478,0.0004063029,0.0004205886,0.0002570139,0.0003283139],"domain_scores_gemma":[0.9990667,0.000111016,0.00009952272,0.000221781,0.0001117222,0.0003892949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001496708,0.0004466164,0.8949217,0.005716193,0.00005218372,0.000007389663,0.01170795,0.000002839149,0.00005527094,0.0001164358,0.001467755,0.08400892],"study_design_scores_gemma":[0.002741004,0.001718199,0.9607031,0.00004726349,0.00006865712,0.00001065171,0.004556521,0.00006172748,0.000009926235,0.00006501309,0.02989164,0.0001263077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927891,0.0007373446,0.00004225879,0.0003411174,0.0006297502,0.004547414,0.00001369957,0.00005308797,0.0008462553],"genre_scores_gemma":[0.9967584,0.000171766,0.001402722,0.0003610018,0.0002281297,0.0005393244,0.00008662749,0.00001732637,0.0004346854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08388261,"threshold_uncertainty_score":0.480901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348311724709785,"score_gpt":0.3684925851552855,"score_spread":0.3350094679081877,"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."}}