{"id":"W4308938434","doi":"10.7759/cureus.31378","title":"Are Electronic Notifications in Imaging Order Communication Systems an Effective Means of Changing Clinicians' Behaviour?","year":2022,"lang":"en","type":"article","venue":"Cureus","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Emergency department; Medical emergency; Ankle; Radiography; Clinical decision support system; Teleradiology; Medical physics; Demographics; Telemedicine; Radiology; Health care; Decision support system; Surgery; Nursing; Artificial intelligence","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":[0.04715177,0.0004031544,0.0006783676,0.001415666,0.0007019677,0.003109907,0.001440854,0.001856247,0.00482003],"category_scores_gemma":[0.2981804,0.0005207604,0.0007109244,0.001381832,0.0009698794,0.004170405,0.001234864,0.001344816,0.00120389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493801,"about_ca_system_score_gemma":0.003383437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862803,"about_ca_topic_score_gemma":0.001815337,"domain_scores_codex":[0.9416961,0.04303039,0.005071817,0.001700434,0.007376376,0.00112476],"domain_scores_gemma":[0.7042992,0.2209115,0.04275053,0.013529,0.0137317,0.004778204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001991234,0.003092143,0.2195358,0.001857066,0.0002478385,0.0002174122,0.004454843,0.001001432,0.0009225642,0.001495744,0.01510315,0.7500806],"study_design_scores_gemma":[0.003296366,0.0186599,0.781283,0.01037965,0.001291516,0.001554699,0.01092245,0.01700194,0.006951945,0.01019699,0.1379309,0.0005306707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658326,0.01064118,0.01722543,0.06544766,0.003530717,0.001876595,0.0008005175,0.001871277,0.03277409],"genre_scores_gemma":[0.9644459,0.003509523,0.02132981,0.00650941,0.001001216,0.00111697,0.000266848,0.00008743841,0.001732917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04715177,"threshold_uncertainty_score":0.2493654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05280536097542184,"score_gpt":0.4394247987047328,"score_spread":0.386619437729311,"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."}}