{"id":"W2120779021","doi":"10.1007/11766247_36","title":"Classification Based on Logical Concept Analysis","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Intension; Computer science; Extension (predicate logic); Partition (number theory); Classification rule; Formal concept analysis; Class (philosophy); One-class classification; Set (abstract data type); Theoretical computer science; Artificial intelligence; Data mining; Algorithm; Classifier (UML); Mathematics; Combinatorics","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":[0.001917411,0.0004708253,0.001111637,0.002642579,0.0008595233,0.003304847,0.001557756,0.0006686561,0.005418464],"category_scores_gemma":[0.006407715,0.0003003035,0.001306856,0.002258574,0.001391092,0.003819973,0.001583139,0.001267793,0.00155354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009529077,"about_ca_system_score_gemma":0.001102508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008219805,"about_ca_topic_score_gemma":0.0006263288,"domain_scores_codex":[0.9982682,0.0005243236,0.0001485313,0.0002482033,0.0007355298,0.0000751133],"domain_scores_gemma":[0.9978117,0.001369034,0.0001169324,0.0002007526,0.0004474219,0.00005424127],"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":[0.000172854,0.000120681,0.00120134,0.0004002173,0.0001410509,0.0001263867,0.0004100662,0.0133873,0.00479041,0.3894968,0.01088598,0.5788669],"study_design_scores_gemma":[0.00003874928,0.00009567919,0.001120681,0.0001496397,0.0001334506,0.0003627313,0.0001906752,0.4330358,0.003508935,0.5395569,0.02174855,0.00005813756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008274794,0.00126097,0.9795166,0.0005722682,0.0002720523,0.0001356969,0.0001312011,0.0004176497,0.009418651],"genre_scores_gemma":[0.2206677,0.001493241,0.7698817,0.0003156804,0.0003512995,0.0005004174,0.0007665711,0.00008670469,0.005936746],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005418464,"threshold_uncertainty_score":0.01812655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779944537103064,"score_gpt":0.2526625112476324,"score_spread":0.2248630658766018,"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."}}