{"id":"W2146398291","doi":"10.1109/icmla.2013.190","title":"Incorporating Game-Theoretic Rough Sets in Web-Based Medical Decision Support Systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Decision support system; Rough set; Computer science; Component (thermodynamics); Intelligent decision support system; Data mining; Machine learning","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":[0.007906577,0.000794518,0.00142317,0.002044072,0.0008720605,0.004497366,0.001611864,0.00124608,0.001132459],"category_scores_gemma":[0.01492028,0.0006752225,0.001764997,0.001341549,0.002322284,0.003446961,0.002109572,0.001889604,0.000253329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002873998,"about_ca_system_score_gemma":0.002197274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007467978,"about_ca_topic_score_gemma":0.006038085,"domain_scores_codex":[0.993276,0.004177855,0.0005047146,0.0004057126,0.001339433,0.0002962109],"domain_scores_gemma":[0.9921547,0.005653543,0.0006593473,0.0004467419,0.0008079247,0.0002778133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00010828,0.0001006557,0.00114186,0.0001583317,0.0001738487,0.0003141357,0.0004213896,0.6444336,0.0008689395,0.3214139,0.0007539706,0.03011111],"study_design_scores_gemma":[0.00003145811,0.00006141315,0.0002052604,0.00003797186,0.00004590772,0.00004418819,0.00007962769,0.7898733,0.0003515662,0.2076731,0.001555945,0.00004024091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0177191,0.0005586888,0.9749196,0.001296502,0.00007843281,0.0001862801,0.00008162344,0.0001126158,0.005047095],"genre_scores_gemma":[0.6020734,0.0008316701,0.3945345,0.0002901672,0.00009463309,0.0003754065,0.0001132005,0.00002400756,0.00166305],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007906577,"threshold_uncertainty_score":0.04181445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296077500915655,"score_gpt":0.2483491123176787,"score_spread":0.2353883373085222,"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."}}