{"id":"W1531217687","doi":"10.1007/3-540-45554-x_40","title":"Unification of Knowledge Discovery and Data Mining using Rough Sets Approach in A Real-World Application","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Rough set; Computer science; Knowledge extraction; Data mining; Unification; Data science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001132661,0.0003362073,0.0004660485,0.0008670391,0.0001216001,0.0003133175,0.003020884,0.0001862088,6.938487e-7],"category_scores_gemma":[0.00002678358,0.0003065868,0.00003501322,0.001244906,0.0004580269,0.001261179,0.002075234,0.0003634991,0.000001220253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973469,"about_ca_system_score_gemma":0.0003441342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334215,"about_ca_topic_score_gemma":0.0003857407,"domain_scores_codex":[0.9969116,0.00005014461,0.0005700186,0.001650967,0.0004375406,0.0003796782],"domain_scores_gemma":[0.997089,0.0002770757,0.0003897711,0.002075383,0.00009601132,0.00007270743],"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":[0.000006863312,0.00008991014,0.00146845,0.0001147593,0.000007077371,0.00001134675,0.001463349,0.02450746,0.0001115132,0.02748377,0.000006791934,0.9447287],"study_design_scores_gemma":[0.0001657728,0.0000326026,0.001718324,0.0002340403,0.000006904122,0.00002615777,6.35771e-7,0.9751356,0.00002856021,0.02212621,0.0002013062,0.0003239028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009577412,0.0005262192,0.987522,0.00009071644,0.0002333203,0.0004236783,0.00001052018,0.00004089281,0.01019491],"genre_scores_gemma":[0.3801566,0.0001621611,0.6193685,0.00008074621,0.000125473,0.000005969954,0.00004229592,0.00001777287,0.00004050739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9506281,"threshold_uncertainty_score":0.9999386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07445096844524185,"score_gpt":0.3129614747815658,"score_spread":0.2385105063363239,"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."}}