{"id":"W4379279963","doi":"10.1007/978-3-031-34344-5_44","title":"Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"","keywords":"Computer science; Workflow; World Wide Web; Clinical decision support system; Semantic Web; Point of care; Decision support system; Database; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005100264,0.000638288,0.001285312,0.00246568,0.001157796,0.00515364,0.002377375,0.001277932,0.005043176],"category_scores_gemma":[0.00668703,0.0007992127,0.001260674,0.002827661,0.0009404253,0.003917197,0.005116313,0.001729933,0.002269975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106125,"about_ca_system_score_gemma":0.003376237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005491412,"about_ca_topic_score_gemma":0.007951844,"domain_scores_codex":[0.9973212,0.0008260527,0.0003492541,0.0005206924,0.0007327703,0.0002500714],"domain_scores_gemma":[0.9945627,0.002195354,0.0002993628,0.001862659,0.0006486995,0.0004313328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002134387,0.001544393,0.005638547,0.0005326582,0.0005800133,0.001460729,0.001318677,0.1493892,0.02150999,0.1207445,0.04066018,0.6544867],"study_design_scores_gemma":[0.0002510641,0.00009262701,0.0009443712,0.00009643192,0.000108736,0.0002808349,0.0002445841,0.8080136,0.01011056,0.1503793,0.02939757,0.00008033626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01801932,0.0003797174,0.9540386,0.001096301,0.0001257498,0.0003480239,0.0009675856,0.0174075,0.007617244],"genre_scores_gemma":[0.419312,0.0004961191,0.5671452,0.0006237344,0.0001330054,0.0002618866,0.004577697,0.0009902252,0.006460011],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005491412,"threshold_uncertainty_score":0.02697313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195028020310543,"score_gpt":0.4557204236021348,"score_spread":0.3362176215710805,"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."}}