{"id":"W1137062776","doi":"10.1007/978-3-662-43505-2_24","title":"Probabilistic Rough Sets","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Rough set; Probabilistic logic; Mathematics; Equivalence (formal languages); Dominance-based rough set approach; Conditional probability; Equivalence class (music); Interpretation (philosophy); Class (philosophy); Discrete mathematics; Computer science; Artificial intelligence; Statistics","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":[0.001182532,0.00133408,0.001081748,0.002204192,0.0007928427,0.003194777,0.001012671,0.001080487,0.01778956],"category_scores_gemma":[0.004233338,0.0007479981,0.0009041494,0.002782115,0.001534847,0.003506148,0.001455901,0.002392212,0.007001024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256647,"about_ca_system_score_gemma":0.001097543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009365504,"about_ca_topic_score_gemma":0.001007407,"domain_scores_codex":[0.9986919,0.0002532104,0.00006367394,0.0001763128,0.0007664822,0.00004843937],"domain_scores_gemma":[0.9991751,0.0003949156,0.00005068761,0.0001579246,0.0001946812,0.00002663576],"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":[0.00001542915,0.00001981141,0.00008150775,0.0002161847,0.00003268234,0.00004151028,0.0001189981,0.00692063,0.0003774095,0.7604666,0.05616812,0.1755411],"study_design_scores_gemma":[0.000004615343,0.00001442122,0.0001896653,0.000150662,0.00001906526,0.000156894,0.00003880603,0.009673604,0.0003620214,0.7544503,0.2349168,0.00002321594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002560146,0.0430755,0.5694651,0.004721368,0.003136165,0.000100374,0.0007058302,0.0007303078,0.3755052],"genre_scores_gemma":[0.1701043,0.07595894,0.2819187,0.002313348,0.006144933,0.0004203741,0.002356231,0.0008130534,0.4599701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01778956,"threshold_uncertainty_score":0.05951202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0721904669157006,"score_gpt":0.2604471127684392,"score_spread":0.1882566458527386,"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."}}