{"id":"W4206016454","doi":"10.1007/978-1-4615-1033-8_4","title":"Rough Sets","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rough set; Relation (database); Characterization (materials science); Computer science; Granular computing; Process (computing); Expression (computer science); Artificial intelligence; Mathematics; Theoretical computer science; Data mining; Programming language","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":[0.0009024148,0.001125085,0.001162671,0.002191103,0.0007043221,0.003343376,0.0008458558,0.0008254625,0.01933897],"category_scores_gemma":[0.003180168,0.0005223197,0.0007958467,0.002377464,0.001388052,0.002866502,0.001105381,0.001756861,0.008801212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009486674,"about_ca_system_score_gemma":0.0008147827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007942644,"about_ca_topic_score_gemma":0.000856218,"domain_scores_codex":[0.998928,0.0001940833,0.00007135775,0.000146197,0.0006214192,0.00003901489],"domain_scores_gemma":[0.9993131,0.0002883589,0.00003377775,0.0001785606,0.0001651529,0.00002098325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001582264,0.00002450434,0.00009395436,0.0002790554,0.0000368091,0.00005334283,0.000201736,0.004333459,0.0004902907,0.678489,0.05388478,0.2620972],"study_design_scores_gemma":[0.000007393969,0.00002645002,0.0002358302,0.0001950476,0.00003279629,0.0002181014,0.00008548413,0.006624467,0.0007326647,0.6385795,0.3532394,0.00002296108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003137012,0.03074318,0.4909881,0.003098351,0.002097507,0.0001822745,0.0007700447,0.0009515497,0.4680319],"genre_scores_gemma":[0.1297592,0.04108857,0.3860595,0.001714678,0.002330631,0.0004399991,0.002056115,0.0005592293,0.4359921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01933897,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963640191161562,"score_gpt":0.2270044581950962,"score_spread":0.1973680562834805,"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."}}