{"id":"W4206034362","doi":"10.2196/preprints.15503","title":"Mobile Clinical Decision Tools Among Emergency Department Clinicians: Web-Based Survey and Analytic Data for Evaluation of The Ottawa Rules App (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Smartphone app; Mobile apps; Snowball sampling; Usability; Analytics; Medicine; Emergency department; Android (operating system); World Wide Web; Medical emergency; Internet privacy; Computer science; Nursing; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0102976,0.000295176,0.0007047951,0.002236514,0.001507071,0.002251247,0.0008768644,0.001027048,0.003360821],"category_scores_gemma":[0.04564888,0.0005522541,0.001022357,0.002627827,0.0007900632,0.002099681,0.001515986,0.001425044,0.001076104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00416291,"about_ca_system_score_gemma":0.007444817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0932715,"about_ca_topic_score_gemma":0.1385199,"domain_scores_codex":[0.9931814,0.002140776,0.00145995,0.0006428806,0.00185574,0.0007191978],"domain_scores_gemma":[0.9613535,0.01685763,0.006914005,0.001504596,0.01056073,0.00280957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005276387,0.001804389,0.9578431,0.0005910113,0.0001372467,0.0001701385,0.01460123,0.00009621257,0.0002237613,0.0001058013,0.006129099,0.01777037],"study_design_scores_gemma":[0.0001669997,0.001022618,0.9702909,0.0004514033,0.0000918066,0.0001458366,0.02316198,0.0006468663,0.0001771484,0.00006301098,0.003714565,0.00006691013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906605,0.0002052473,0.0002610675,0.0005652612,0.00002300534,0.002234526,0.004402366,0.00002096099,0.00162696],"genre_scores_gemma":[0.9833484,0.0005471067,0.00298759,0.001290387,0.00004245258,0.00707465,0.003633893,0.00002744915,0.001048014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0932715,"threshold_uncertainty_score":0.1854572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.424656197355062,"score_gpt":0.5420275685715835,"score_spread":0.1173713712165215,"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."}}