{"id":"W4206717700","doi":"10.2196/29943","title":"A Novel Diagnostic Decision Support System for Medical Professionals: Prospective Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Observational study; Context (archaeology); Medical emergency; CLARITY; Health care; Traceability; Transparency (behavior); Decision support system; Emergency department; Complaint; Clinical decision support system; Usability; Nursing; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01182795,0.0006161322,0.0005141385,0.0008861763,0.0005380507,0.0008368192,0.0005758006,0.001116975,0.00366421],"category_scores_gemma":[0.01813743,0.0004332316,0.0005638473,0.000341611,0.0009282708,0.001459917,0.001037074,0.0007097844,0.0007310866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000559525,"about_ca_system_score_gemma":0.001638508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006880682,"about_ca_topic_score_gemma":0.0005776979,"domain_scores_codex":[0.9959432,0.002663017,0.0003251519,0.0002734708,0.0004621827,0.0003328379],"domain_scores_gemma":[0.98867,0.006601011,0.0006557851,0.0007249862,0.001923848,0.001424419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03974507,0.1803393,0.602107,0.00228037,0.0003598223,0.004093284,0.01195313,0.003397372,0.01621083,0.001262866,0.002564016,0.1356871],"study_design_scores_gemma":[0.01359884,0.5823623,0.3565485,0.0002783733,0.0004150508,0.003176153,0.01014708,0.01954033,0.006847551,0.0007098921,0.006146582,0.0002292854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956053,0.00003582432,0.001323,0.00007281523,0.00001424901,0.002514879,0.000120867,0.00001765969,0.000295394],"genre_scores_gemma":[0.9832022,0.0001050888,0.0106626,0.000160457,0.00004293985,0.005143858,0.0003624991,0.000006530579,0.0003140502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182795,"threshold_uncertainty_score":0.06255299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099541101639752,"score_gpt":0.5223993728625324,"score_spread":0.4124452626985572,"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."}}