{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01193939,0.0007557909,0.0007307028,0.001828246,0.0007451408,0.001110462,0.0006348944,0.0007409408,0.000814563],"category_scores_gemma":[0.02378658,0.0005309451,0.0009357107,0.0009450031,0.0006493033,0.001387885,0.001393776,0.0005411333,0.0003456819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006138836,"about_ca_system_score_gemma":0.001022198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007800492,"about_ca_topic_score_gemma":0.001556205,"domain_scores_codex":[0.9942972,0.003226283,0.0006866082,0.0004431368,0.001025999,0.0003207176],"domain_scores_gemma":[0.976485,0.01679174,0.0009384365,0.001013241,0.004105319,0.0006662849],"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":[0.001857067,0.01416559,0.196104,0.007867265,0.0003712175,0.0071223,0.2619756,0.001735635,0.05689679,0.0006107159,0.004010692,0.4472833],"study_design_scores_gemma":[0.001313534,0.07422956,0.6642342,0.00320358,0.00114641,0.01802557,0.1327781,0.01233467,0.03990313,0.0005746732,0.0516607,0.0005958152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994031,0.0003578605,0.003050043,0.00007748751,0.00001595108,0.001388418,0.00008121434,0.00006082598,0.0009370603],"genre_scores_gemma":[0.9673543,0.001182459,0.02630976,0.0002387694,0.00004751062,0.002937786,0.0003334265,0.00008841759,0.001507562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01193939,"threshold_uncertainty_score":0.0631423,"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."}}