{"id":"W4254230253","doi":"10.2196/preprints.10263.a","title":"Acceptability of a mobile clinical decision tool amongst Emergency Department clinicians: development and evaluation of The Ottawa Rules App","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mobile apps; Emergency department; Medical emergency; Medicine; Psychology; Computer science; Nursing; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01414044,0.0008863646,0.0008762969,0.001039287,0.001646508,0.003739045,0.001756543,0.001900364,0.005004051],"category_scores_gemma":[0.0729038,0.0009094818,0.001248045,0.0004846735,0.001437384,0.001929626,0.002979059,0.001654378,0.001630761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398841,"about_ca_system_score_gemma":0.005686136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03575162,"about_ca_topic_score_gemma":0.09072939,"domain_scores_codex":[0.9898089,0.004594223,0.001676261,0.001032541,0.002354978,0.0005331761],"domain_scores_gemma":[0.9264604,0.05468774,0.002385851,0.002659877,0.01108312,0.002722909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02104324,0.01649072,0.3444888,0.005836517,0.001177329,0.002714771,0.06361108,0.002316992,0.01727939,0.001159173,0.04640734,0.4774747],"study_design_scores_gemma":[0.005150377,0.02482444,0.7795506,0.004387787,0.003398601,0.003325002,0.05120794,0.01543563,0.02506781,0.002112391,0.08323698,0.002302338],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842026,0.000336905,0.002435157,0.00134747,0.000185108,0.003811759,0.001531696,0.0004872741,0.005662009],"genre_scores_gemma":[0.9328643,0.0009199867,0.04269009,0.001639164,0.0001310892,0.006596747,0.002629516,0.0003178907,0.01221121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03575162,"threshold_uncertainty_score":0.07478267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291307776303235,"score_gpt":0.5197989377759069,"score_spread":0.3906681601455834,"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."}}