{"id":"W2505369988","doi":"10.4018/978-1-60566-324-1.ch003","title":"Supervised and Unsupervised Information Granulation","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy set; Artificial intelligence; Pattern recognition (psychology); Fuzzy logic; Mathematics; Artificial neural network; Class (philosophy); Representation (politics); Fuzzy classification; Computer science; Data mining; Machine learning","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":[0.001996861,0.0004723411,0.001039718,0.002134742,0.000479717,0.002450222,0.0009951598,0.0007912589,0.002390468],"category_scores_gemma":[0.00815324,0.0003338318,0.001079974,0.001999614,0.001597213,0.003288534,0.002123836,0.0008310339,0.000564087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000886308,"about_ca_system_score_gemma":0.0007357796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005755292,"about_ca_topic_score_gemma":0.0006614339,"domain_scores_codex":[0.997753,0.0004918097,0.0002603296,0.0005284206,0.0007979476,0.0001684765],"domain_scores_gemma":[0.9949058,0.002188376,0.0004882263,0.001654668,0.0006601955,0.0001027588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005083972,0.0001708135,0.003122457,0.000818966,0.0002085981,0.0003659996,0.0009828097,0.1310228,0.03006665,0.2149245,0.004422279,0.6133857],"study_design_scores_gemma":[0.0000475025,0.0002258959,0.00383236,0.0001193707,0.00009434541,0.0005493295,0.0002740053,0.7807381,0.03494035,0.15997,0.01912641,0.00008233552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02572655,0.0006251221,0.9666564,0.000196561,0.00004658645,0.000147047,0.0002144461,0.0006105774,0.00577664],"genre_scores_gemma":[0.4759567,0.0006559672,0.5171588,0.0002360441,0.0001630273,0.0004123163,0.0006959496,0.0001852011,0.004535994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002450222,"threshold_uncertainty_score":0.01056051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340189282790953,"score_gpt":0.2112888547074955,"score_spread":0.197886961879586,"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."}}