{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0300526,0.0005753842,0.0006820738,0.0007998705,0.001548932,0.003500916,0.00141515,0.001184049,0.002594394],"category_scores_gemma":[0.1103677,0.0005920895,0.001503314,0.0005641785,0.001175953,0.002133168,0.002071328,0.001584698,0.0009189493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003607435,"about_ca_system_score_gemma":0.007834051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0290486,"about_ca_topic_score_gemma":0.05163403,"domain_scores_codex":[0.9792334,0.009691684,0.003292545,0.001300415,0.005316122,0.001165692],"domain_scores_gemma":[0.9034388,0.06038401,0.005976595,0.002963862,0.02332789,0.003908807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008033544,0.01992179,0.5363266,0.003845743,0.0005514012,0.001093896,0.06498136,0.001494313,0.004248085,0.0005016811,0.0312025,0.3277991],"study_design_scores_gemma":[0.002504094,0.02987924,0.8639616,0.002323267,0.00112401,0.001187231,0.04340794,0.008523782,0.007226348,0.0006280324,0.03825105,0.0009834269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875595,0.0002200599,0.001118801,0.001211651,0.0001157481,0.005279802,0.0009133905,0.0001370219,0.003444046],"genre_scores_gemma":[0.9628758,0.0006400279,0.02031474,0.002007861,0.0001312354,0.01012723,0.001369921,0.0001072082,0.00242595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0300526,"threshold_uncertainty_score":0.1589352,"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."}}