{"id":"W4310070078","doi":"10.1016/j.fss.2022.11.008","title":"L-fuzzy concept analysis using fuzzy categories","year":2022,"lang":"en","type":"article","venue":"Fuzzy Sets and Systems","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Type-2 fuzzy sets and systems; Fuzzy logic; Fuzzy classification; Fuzzy number; Fuzzy set operations; Fuzzy set; Fuzzy mathematics; Defuzzification; Unit interval; Membership function; Formal concept analysis; Algebra over a field; Discrete mathematics; Algorithm; Artificial intelligence; Pure mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002437669,0.0004115161,0.000725484,0.00381981,0.0009447032,0.003495485,0.001021222,0.0006429005,0.004009257],"category_scores_gemma":[0.006011887,0.000256799,0.001235645,0.002444235,0.001905441,0.003684081,0.001702762,0.001342364,0.0005996785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143653,"about_ca_system_score_gemma":0.001037534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539557,"about_ca_topic_score_gemma":0.0007328455,"domain_scores_codex":[0.9978113,0.001008909,0.0001730213,0.0002721123,0.0006359702,0.00009862294],"domain_scores_gemma":[0.9977168,0.001225384,0.0001717765,0.0002264282,0.0005747703,0.00008489221],"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":[0.00004891803,0.00003535939,0.0005441188,0.0002447332,0.00007912258,0.0001113198,0.0006451989,0.006971282,0.002098609,0.9117966,0.001752558,0.07567218],"study_design_scores_gemma":[0.00001101903,0.00003567387,0.0004015325,0.00007787707,0.00003032515,0.0001330755,0.0002783834,0.06552955,0.001152799,0.9226189,0.009699772,0.00003114983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01140629,0.001024228,0.9781252,0.0004278672,0.00008508551,0.0000793283,0.0001123442,0.0001510342,0.00858876],"genre_scores_gemma":[0.4510366,0.000918865,0.5420557,0.0002604951,0.000140436,0.0003085999,0.0002759543,0.00005782321,0.004945525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004009257,"threshold_uncertainty_score":0.01341224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228840107750006,"score_gpt":0.2583556737836243,"score_spread":0.2260672727061242,"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."}}