{"id":"W2900224654","doi":"10.2196/mhealth.9651","title":"Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Checklist; Layperson; Cardiopulmonary resuscitation; Mobile phone; Guideline; Medicine; Medical emergency; Phone; Computer science; Psychology; Resuscitation; Emergency 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0118553,0.0002863743,0.001023713,0.0001908336,0.001653998,0.00001385829,0.0001727954,0.0003671954,0.0001750279],"category_scores_gemma":[0.001284332,0.0002216283,0.00003138917,0.000518248,0.0006234631,0.0001658037,0.0001035598,0.0005307874,0.00001639323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001933228,"about_ca_system_score_gemma":0.004886059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476936,"about_ca_topic_score_gemma":0.001565263,"domain_scores_codex":[0.9936953,0.00149932,0.002113491,0.0008064192,0.0009289104,0.0009566139],"domain_scores_gemma":[0.9928554,0.00215251,0.0007815757,0.0006152148,0.002175984,0.001419346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.01004663,0.0007804026,0.2287711,0.636863,0.00009228293,0.000002601648,0.009724135,0.000008017501,0.00002510762,0.02474532,0.04063232,0.04830913],"study_design_scores_gemma":[0.06209832,0.03045097,0.5105333,0.04931086,0.001958223,0.0002762074,0.04511492,0.230728,0.00005438939,0.009015501,0.05766771,0.002791675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532455,0.004678329,0.00460258,0.007828296,0.0007156329,0.02760699,0.0002046919,0.0001243559,0.0009936639],"genre_scores_gemma":[0.9788132,0.001516479,0.003414989,0.001938005,0.0004030646,0.01343582,0.0001692899,0.00004316882,0.0002660325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5875521,"threshold_uncertainty_score":0.9996457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1366223779841809,"score_gpt":0.4818575764959671,"score_spread":0.3452351985117862,"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."}}