{"id":"W3125866438","doi":"10.2196/13182","title":"A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Clinical decision support system; Health care; Decision support system; Context (archaeology); Medicine; Knowledge base; Scientific evidence; Knowledge management; Medical education; Computer science; World Wide Web","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":[0.01669835,0.0009486381,0.0008900265,0.001577778,0.0004508241,0.001901489,0.001360143,0.001437083,0.003835441],"category_scores_gemma":[0.03542559,0.0005625222,0.001243927,0.0009687708,0.0008123515,0.001889105,0.001967885,0.0009258725,0.000659284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316658,"about_ca_system_score_gemma":0.003474753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055297,"about_ca_topic_score_gemma":0.0007909815,"domain_scores_codex":[0.9897579,0.006454357,0.0009258878,0.0005829486,0.001948662,0.000330263],"domain_scores_gemma":[0.9708213,0.01944842,0.001215131,0.001616185,0.00550873,0.001390215],"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":[0.01170211,0.02458868,0.05079483,0.01304025,0.001451404,0.0006996617,0.004572117,0.00981479,0.0120663,0.002560312,0.007180555,0.8615291],"study_design_scores_gemma":[0.03588813,0.2643332,0.3359857,0.01220691,0.006954389,0.004475357,0.007744883,0.1449548,0.06221779,0.004648681,0.119595,0.0009951424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316826,0.002549521,0.04147601,0.0006500474,0.0002381772,0.01694665,0.001514119,0.0009122433,0.004030657],"genre_scores_gemma":[0.7570217,0.002939391,0.2114594,0.0008149039,0.0001054219,0.0211068,0.004248572,0.0001639432,0.00213997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669835,"threshold_uncertainty_score":0.08831036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440242476007721,"score_gpt":0.5432232048974553,"score_spread":0.3991989572966833,"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."}}