{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00218587,0.0005807984,0.0006330325,0.001148363,0.0005544498,0.002527136,0.001947442,0.0009637673,0.01413826],"category_scores_gemma":[0.007355976,0.0003237558,0.0005840793,0.0009156356,0.0003310611,0.001582311,0.002000591,0.0009865899,0.006135451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008620876,"about_ca_system_score_gemma":0.001617864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349274,"about_ca_topic_score_gemma":0.0009026651,"domain_scores_codex":[0.9979324,0.0005127574,0.0003239427,0.000439449,0.0006656068,0.0001258601],"domain_scores_gemma":[0.9965713,0.001099443,0.0002654103,0.000611539,0.00107662,0.0003757673],"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":[0.002255032,0.0007218418,0.01716652,0.00211024,0.0005023762,0.003115232,0.001601923,0.02142887,0.05048277,0.05302575,0.1638494,0.6837401],"study_design_scores_gemma":[0.0007586255,0.0006634121,0.009477586,0.0009054086,0.0002977166,0.003095658,0.0006048477,0.3043906,0.04498982,0.04385052,0.5907101,0.000255817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02803998,0.001105563,0.8907335,0.002602912,0.0006346275,0.001698108,0.00502906,0.05113338,0.01902278],"genre_scores_gemma":[0.372207,0.001112159,0.596589,0.001709761,0.0004535697,0.001583019,0.01098072,0.001387348,0.0139775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01413826,"threshold_uncertainty_score":0.04729718,"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."}}