{"id":"W2772495650","doi":"10.1109/smc.2017.8122691","title":"A decision support system for cancer differentiation therapy with game-theoretic rough sets","year":2017,"lang":"en","type":"article","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Rough set; Fuzzy logic; Fuzzy set; Mathematics; Computer science; Relation (database); Artificial intelligence; 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":[0.001898178,0.0007077159,0.001242216,0.0008777861,0.0008494848,0.002134904,0.001593819,0.001225478,0.003383703],"category_scores_gemma":[0.002832848,0.0002944407,0.001203004,0.0005371243,0.0004825157,0.001504448,0.001535691,0.001297854,0.0005442244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009700356,"about_ca_system_score_gemma":0.001393144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002823948,"about_ca_topic_score_gemma":0.001867752,"domain_scores_codex":[0.9987541,0.0003517942,0.0001364138,0.000244908,0.0003995301,0.0001131488],"domain_scores_gemma":[0.9991711,0.0003945255,0.00009553469,0.00005679,0.0001977108,0.00008432981],"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":[0.000665124,0.0005897692,0.002263221,0.0005238152,0.0003242103,0.001134411,0.0006600581,0.5188627,0.01530474,0.1513684,0.00775932,0.3005443],"study_design_scores_gemma":[0.00009425003,0.0001569411,0.0001981449,0.00002207449,0.00006759143,0.0001336177,0.0000405543,0.9713398,0.0018582,0.02259179,0.003460043,0.00003693222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01477173,0.0002356176,0.9806974,0.0004879236,0.0001030164,0.0002158269,0.00008960965,0.0006720083,0.002726906],"genre_scores_gemma":[0.6329811,0.0003575397,0.3622564,0.000287793,0.00008562501,0.0005785242,0.0002250726,0.00003650008,0.003191363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003383703,"threshold_uncertainty_score":0.01131958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706100941712875,"score_gpt":0.2900574771622016,"score_spread":0.2629964677450728,"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."}}