{"id":"W3021168917","doi":"10.1007/978-3-319-92058-0_63","title":"Fuzzy Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science; Cluster analysis; Data mining; Fuzzy clustering; Sampling (signal processing); Fuzzy logic; Object (grammar); Process (computing); Machine learning; Artificial intelligence","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":[0.002598469,0.0009583613,0.002566693,0.002552205,0.001276737,0.001474101,0.002098,0.001065791,0.002265939],"category_scores_gemma":[0.005290703,0.0005844844,0.001831593,0.002625709,0.00043115,0.002334001,0.001418111,0.0009697556,0.000412546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001605,"about_ca_system_score_gemma":0.001096232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004521912,"about_ca_topic_score_gemma":0.00462585,"domain_scores_codex":[0.9977741,0.0004981427,0.000138919,0.0004012875,0.0009988456,0.0001886841],"domain_scores_gemma":[0.9974402,0.001021362,0.0001195402,0.0003126994,0.000986232,0.0001199998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003767327,0.0001870603,0.002501456,0.0002178366,0.000344702,0.0001600656,0.0002390357,0.5136185,0.0076703,0.02832079,0.004561856,0.4418017],"study_design_scores_gemma":[0.000005037993,0.00002827162,0.0002794162,0.000007016019,0.00003013717,0.00003988866,0.00001527694,0.9940069,0.0006568448,0.004444208,0.0004767746,0.00001014356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01716384,0.0004012781,0.9807087,0.00005445809,0.00006332835,0.00005183796,0.00005628009,0.0002018549,0.00129854],"genre_scores_gemma":[0.3965049,0.0005604628,0.5980412,0.0000947372,0.0001863526,0.0002731953,0.000562895,0.0001481847,0.0036281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004521912,"threshold_uncertainty_score":0.01374215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303468521713138,"score_gpt":0.2655751375920668,"score_spread":0.2325404523749354,"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."}}