{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004787184,0.0001101185,0.0003017163,0.0004859102,0.0001466257,0.00003284608,0.0003898989,0.00004279524,0.000007223992],"category_scores_gemma":[0.00009674836,0.0001012085,0.0001517398,0.001617465,0.00004251071,0.0002251928,0.0001863983,0.00008686281,0.000003072955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006328164,"about_ca_system_score_gemma":0.00002990088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004243874,"about_ca_topic_score_gemma":0.0000764346,"domain_scores_codex":[0.9988108,0.00005705851,0.0003582712,0.000381642,0.000157475,0.0002347051],"domain_scores_gemma":[0.9989132,0.0003352795,0.0002252264,0.0002878887,0.0002000095,0.0000383383],"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":[0.0002028795,0.0007782999,0.1036478,0.00005308177,0.001673745,0.00001392023,0.0306835,0.2798569,0.0009240108,0.03829986,0.0004731944,0.5433929],"study_design_scores_gemma":[0.0004160374,0.0001575251,0.1079199,0.00003833995,0.00009241822,0.000002990914,0.0004045161,0.8810291,0.0002805839,0.009397597,0.00009905461,0.0001619717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1623457,0.00004683819,0.8365432,0.00002103799,0.0003860037,0.0001664454,0.00002025173,0.00004215601,0.0004283227],"genre_scores_gemma":[0.8765968,0.000002746325,0.1233043,0.00001897425,0.00004449661,0.000005860039,0.00001553342,0.000004518469,0.000006767661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.714251,"threshold_uncertainty_score":0.4127164,"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."}}