{"id":"W4234972757","doi":"10.2196/preprints.10263","title":"Acceptability of a Mobile Clinical Decision Tool Among Emergency Department Clinicians: Development and Evaluation of The Ottawa Rules App (Preprint)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Medicine; Publicity; Mobile apps; Medical emergency; Family medicine; World Wide Web; Nursing; Computer science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01181889,0.0003574852,0.001145075,0.0001202869,0.00004884288,0.0000145196,0.0004457799,0.0003535996,0.00186948],"category_scores_gemma":[0.006651983,0.0002273109,0.0003744681,0.0001537997,0.0007936799,0.0000912096,0.001647371,0.0005471595,0.00001989381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896859,"about_ca_system_score_gemma":0.001044667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006237115,"about_ca_topic_score_gemma":0.0001019608,"domain_scores_codex":[0.9931241,0.0004041975,0.003461385,0.0009313188,0.001831535,0.0002474711],"domain_scores_gemma":[0.9945968,0.0005168231,0.001252121,0.001851433,0.001630209,0.0001526109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085405,0.0007160659,0.5948561,0.0003966143,0.0002030185,5.640622e-7,0.0003572027,0.00004014151,0.00001240507,0.00001213957,0.001613822,0.4016834],"study_design_scores_gemma":[0.001560913,0.0002713327,0.9872147,0.0009514472,0.0006314474,0.000003749485,0.0002804943,0.002082824,0.002322954,0.002713437,0.001768826,0.0001978152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812009,0.0005268461,0.001164131,0.00009274649,0.001517118,0.004460695,0.00002097663,0.00005244472,0.01096419],"genre_scores_gemma":[0.9759482,0.0001968715,0.02296275,0.0000697044,0.0001742338,0.0003569837,0.00005991601,0.00003082151,0.0002005654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4014856,"threshold_uncertainty_score":0.9990429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05956226865922128,"score_gpt":0.4141768004081219,"score_spread":0.3546145317489007,"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."}}