{"id":"W2974977280","doi":"10.2196/12859","title":"A Smartphone App Designed to Empower Patients to Contribute Toward Safer Surgical Care: Community-Based Evaluation Using a Participatory Approach","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King's Health Partners; King's College London; Guy's and St Thomas' Charity; National Institute for Health and Care Research; Maudsley Charity; King's College Hospital NHS Foundation Trust; Department of Health and Social Care; National Institute for Health Research Applied Research Collaboration South London; South London and Maudsley NHS Foundation Trust","keywords":"Usability; Ethnic group; SAFER; Participatory action research; Medicine; Nursing; Psychology; Medical education; Computer science","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004355179,0.0002980961,0.0006295467,0.0003068632,0.001357251,0.000005322103,0.0002212986,0.0003224021,0.0001531661],"category_scores_gemma":[0.0003223535,0.0002716187,0.00006550281,0.0006186368,0.00005634885,0.0001235487,0.0001251152,0.0009807235,0.0003075693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142708,"about_ca_system_score_gemma":0.002828019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005720964,"about_ca_topic_score_gemma":0.00009347305,"domain_scores_codex":[0.9922382,0.004087558,0.001056619,0.0005116177,0.000894971,0.001211074],"domain_scores_gemma":[0.9958472,0.0005854866,0.0004584915,0.0006468248,0.0007218881,0.001740169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009466002,0.002990947,0.7277028,0.01493738,0.00006679014,0.000003384376,0.2150382,0.002857696,0.0001114004,0.001148757,0.01144111,0.01423552],"study_design_scores_gemma":[0.02394131,0.003222363,0.7854916,0.0009708653,0.000257555,0.000002019382,0.01978225,0.006265005,0.00002542029,0.00006310803,0.159,0.000978505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822579,0.0001759307,0.004185615,0.002889534,0.0009336112,0.00800079,0.0001344459,0.0001197234,0.001302431],"genre_scores_gemma":[0.9808334,0.00001170948,0.001520612,0.01543839,0.0001365417,0.001293738,0.000647658,0.00004224329,0.00007572885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195256,"threshold_uncertainty_score":0.9999736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2351314159442005,"score_gpt":0.5054530311114768,"score_spread":0.2703216151672763,"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."}}