{"id":"W4206004728","doi":"10.2196/35399","title":"Usability Testing and Technology Acceptance of an mHealth App at the Point of Care During Simulated Pediatric In- and Out-of-Hospital Cardiopulmonary Resuscitations: Study Nested Within 2 Multicenter Randomized Controlled Trials","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"mHealth; Usability; Randomized controlled trial; Medicine; Point-of-care testing; Test (biology); Point of care; Nursing; Computer science; Psychological intervention; Internal medicine","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":[0.05390409,0.002920249,0.005794453,0.001243317,0.00156155,0.002615405,0.001498937,0.003491199,0.004712126],"category_scores_gemma":[0.09026292,0.001867394,0.00950955,0.001393338,0.002656858,0.003609244,0.001745156,0.001897061,0.0006011125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181175,"about_ca_system_score_gemma":0.003428211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105005,"about_ca_topic_score_gemma":0.001640082,"domain_scores_codex":[0.9132064,0.05856549,0.01255993,0.009005552,0.004954528,0.001708136],"domain_scores_gemma":[0.9249733,0.03576201,0.02290632,0.006878204,0.007320664,0.002159505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.8244507,0.04579355,0.0377312,0.01017029,0.0417637,0.0002069341,0.002684043,0.001208232,0.004033462,0.0004809512,0.001102549,0.0303742],"study_design_scores_gemma":[0.4815564,0.4195943,0.06591576,0.001336439,0.02166868,0.000212819,0.0008056164,0.002878709,0.002384884,0.0005870301,0.002837151,0.0002220864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086748,0.005831654,0.004526362,0.0002849487,0.0005519504,0.07760775,0.0008806451,0.0001259077,0.001516019],"genre_scores_gemma":[0.8518124,0.001040937,0.01301057,0.0003568118,0.0002813028,0.1322899,0.0005416578,0.00003434668,0.0006320696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05390409,"threshold_uncertainty_score":0.2850755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928146579423465,"score_gpt":0.4198409003788902,"score_spread":0.3705594345846555,"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."}}