{"id":"W4214594352","doi":"10.2196/preprints.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 (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Usability; Medicine; mHealth; Technology acceptance model; Medical emergency; Randomized controlled trial; Point of care; Emergency medicine; Psychological intervention; Nursing; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04281436,0.002051412,0.003877488,0.0008702297,0.001238064,0.002439252,0.001049642,0.002561657,0.006385585],"category_scores_gemma":[0.08083349,0.001284427,0.008635377,0.001062109,0.0021019,0.003016148,0.001377601,0.001662099,0.0007388333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778524,"about_ca_system_score_gemma":0.00355911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323379,"about_ca_topic_score_gemma":0.001913975,"domain_scores_codex":[0.9389933,0.04162371,0.009368763,0.004978473,0.003791575,0.001244318],"domain_scores_gemma":[0.9381545,0.03100893,0.01797611,0.00485732,0.006100063,0.001903141],"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":[0.8244785,0.04235962,0.03507741,0.01205758,0.03655291,0.0001513948,0.002489352,0.0008342504,0.003057797,0.0005623869,0.002472991,0.03990589],"study_design_scores_gemma":[0.4814892,0.4077375,0.07859237,0.001771695,0.02001033,0.0001253297,0.0008358121,0.002235138,0.002556894,0.0005748675,0.003860279,0.0002106255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132187,0.004281084,0.003309888,0.0004554626,0.0007107187,0.07432498,0.001350728,0.0001399596,0.002208481],"genre_scores_gemma":[0.8634197,0.0009827557,0.009402483,0.0004847198,0.0003367648,0.1237078,0.0007368904,0.00003406828,0.0008947085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04281436,"threshold_uncertainty_score":0.2264267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04385712198694527,"score_gpt":0.4118236276599481,"score_spread":0.3679665056730029,"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."}}