{"id":"W1980540647","doi":"10.1007/s00500-011-0690-7","title":"Analysis of alternative objective functions for attribute reduction in complete decision tables","year":2011,"lang":"en","type":"article","venue":"Soft Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Reduction (mathematics); Computer science; Decision table; Data mining; Mathematics; Rough set","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":[0.009713548,0.0009760546,0.002120405,0.002948683,0.0006384556,0.003500517,0.001234519,0.000777974,0.003009584],"category_scores_gemma":[0.01424942,0.0005127085,0.002667458,0.002412095,0.0009968907,0.002771542,0.001121245,0.001391654,0.0001902774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287042,"about_ca_system_score_gemma":0.001380782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251399,"about_ca_topic_score_gemma":0.001182176,"domain_scores_codex":[0.9951755,0.002834862,0.0001692037,0.0002507273,0.001290352,0.0002793975],"domain_scores_gemma":[0.9891157,0.009459021,0.0002495524,0.0003616637,0.0006773574,0.0001367581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005933068,0.0003473717,0.002203955,0.000600513,0.0004793592,0.0001979819,0.0005444028,0.6851345,0.002131659,0.1723588,0.001502183,0.133906],"study_design_scores_gemma":[0.00002683398,0.0001645008,0.001124297,0.00006111432,0.0001259642,0.00005945696,0.0001229612,0.9214903,0.0008308939,0.07523311,0.000731617,0.00002892218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1521013,0.00111343,0.8396891,0.000300533,0.00003805851,0.0001642918,0.000304368,0.00007147065,0.006217466],"genre_scores_gemma":[0.7123055,0.0006854451,0.2840382,0.00005929937,0.00005466218,0.0002586259,0.0006194556,0.0000637854,0.001914942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009713548,"threshold_uncertainty_score":0.05137074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06715443064991583,"score_gpt":0.2824646355596536,"score_spread":0.2153102049097377,"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."}}