{"id":"W2151330823","doi":"10.3414/me0574","title":"Clinical Decision Support System for Point of Care Use","year":2009,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Triage; Executable; Clinical decision support system; Ontology; Decision support system; Point of care; Software engineering; Artificial intelligence; Operating system; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003955127,0.00006991198,0.0004158561,0.0002510829,0.00001642872,0.000009312651,0.0003893017,0.00007616736,0.000002932433],"category_scores_gemma":[0.00350964,0.00004846688,0.00006429856,0.0002366161,0.00005433782,0.0007944431,0.00004302662,0.00006471992,0.000001113938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002401452,"about_ca_system_score_gemma":0.00004808373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002050066,"about_ca_topic_score_gemma":0.000002273192,"domain_scores_codex":[0.9982231,0.0001218487,0.001237256,0.00008478534,0.0002259581,0.0001071028],"domain_scores_gemma":[0.9972305,0.001623229,0.0004077459,0.0003574401,0.0003446265,0.0000364869],"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":[0.00007880347,0.00001489014,0.002198386,0.0002400565,0.00000497495,7.112561e-7,0.00401595,0.00008916196,0.00006196076,0.02309203,0.001174655,0.9690284],"study_design_scores_gemma":[0.02060059,0.0139587,0.5847574,0.005314003,0.0001318568,0.000102924,0.03855876,0.2293671,0.03862857,0.0295199,0.03820587,0.0008542758],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008885509,0.00007524182,0.9889154,0.0003626939,0.0005641325,0.0002418743,0.000001604966,0.00003846299,0.0009150396],"genre_scores_gemma":[0.1814585,0.00002045381,0.8182396,0.0002463688,0.00002202194,0.000003873296,0.000004842694,9.476472e-7,0.000003380407],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9681742,"threshold_uncertainty_score":0.420162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06985317355458853,"score_gpt":0.4507163299597289,"score_spread":0.3808631564051404,"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."}}