{"id":"W163302719","doi":"10.1007/978-3-642-22218-4_39","title":"Exploiting OWL Reasoning Services to Execute Ontologically-Modeled Clinical Practice Guidelines","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Artificial intelligence; Web Ontology Language; Software engineering; Data science; Programming language; Semantic Web","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":[0.00590322,0.001054997,0.0007634782,0.0018699,0.0008819334,0.004545335,0.001939323,0.001481866,0.003796002],"category_scores_gemma":[0.01808089,0.0008712768,0.002181822,0.001315171,0.001002141,0.00294443,0.003432818,0.00172258,0.00150249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896241,"about_ca_system_score_gemma":0.004505361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03059308,"about_ca_topic_score_gemma":0.04395209,"domain_scores_codex":[0.9963545,0.001162636,0.0005178583,0.0003375776,0.001346593,0.0002809211],"domain_scores_gemma":[0.992008,0.00496479,0.0006064381,0.001218132,0.000910133,0.0002925547],"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":[0.001915249,0.001983141,0.01945992,0.001695455,0.00114399,0.004872773,0.004303838,0.2403802,0.02065767,0.2245234,0.06720218,0.4118622],"study_design_scores_gemma":[0.00028108,0.0000848188,0.00118765,0.0002594978,0.000244062,0.0004079048,0.0005730623,0.7956176,0.01884217,0.1191394,0.06326699,0.00009578023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02961026,0.000258744,0.910281,0.002213426,0.0002922027,0.0008603334,0.00389194,0.04098003,0.01161201],"genre_scores_gemma":[0.2016704,0.0003687064,0.7823678,0.0008648768,0.00006361642,0.0002893225,0.009034593,0.001977581,0.003363039],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03059308,"threshold_uncertainty_score":0.06083006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09448496561185087,"score_gpt":0.3628916363937627,"score_spread":0.2684066707819118,"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."}}