{"id":"W2368699644","doi":"","title":"Design and Comparison of Decision Table Reduction Based on Decision Power","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rough set; Reduction (mathematics); Heuristic; Decision table; Computer science; Computation; Set (abstract data type); Power (physics); Table (database); Algorithm; Data mining; Mathematical optimization; Artificial intelligence; Theoretical computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002770606,0.0006874275,0.00153147,0.001942256,0.0005657427,0.00142109,0.001405268,0.000510497,0.003006389],"category_scores_gemma":[0.006934178,0.0004260425,0.00107704,0.001686702,0.0007132238,0.001862831,0.0007811673,0.0006519107,0.0003710516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046809,"about_ca_system_score_gemma":0.00138001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484549,"about_ca_topic_score_gemma":0.0008101179,"domain_scores_codex":[0.9967943,0.001315354,0.0002186139,0.0004602936,0.00104575,0.0001655908],"domain_scores_gemma":[0.9973412,0.001488167,0.0001199897,0.0003254974,0.0006422572,0.00008285337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001083527,0.00035316,0.00169018,0.0005210101,0.0002169149,0.0001113315,0.0003112364,0.2219479,0.01267081,0.05237096,0.002293144,0.7064299],"study_design_scores_gemma":[0.0002458567,0.0005396269,0.001379668,0.00002789712,0.0001763147,0.0001950031,0.0001091949,0.9558141,0.01529074,0.02079413,0.005380988,0.00004652094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0491485,0.0005271428,0.9446169,0.000170973,0.00007389978,0.0003149717,0.00007194672,0.000515405,0.00456026],"genre_scores_gemma":[0.4410757,0.0004083033,0.555908,0.00009635972,0.00005704787,0.0003993527,0.0002587042,0.0001006955,0.001695812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003006389,"threshold_uncertainty_score":0.01465255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936180785132038,"score_gpt":0.2884506057577201,"score_spread":0.2690887979063997,"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."}}