{"id":"W2154460732","doi":"10.1109/nafips.1999.781663","title":"Quantification of fuzzy mappings: a relevance of rule-based architectures","year":2003,"lang":"en","type":"article","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency; University of Alberta","funders":"","keywords":"Relevance (law); Computer science; Fuzzy logic; Fuzzy set; Data mining; Theoretical computer science; Artificial intelligence; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002274058,0.00006936844,0.0001294811,0.00008015152,0.00002522645,0.00001422936,0.0003655651,0.00003160133,0.00001203308],"category_scores_gemma":[0.0001091885,0.00005249968,0.00005225321,0.0003086535,0.00005516924,0.00004497925,0.00002085332,0.00004606045,0.000006894945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005995703,"about_ca_system_score_gemma":0.00004972767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002618248,"about_ca_topic_score_gemma":0.000003781185,"domain_scores_codex":[0.9992263,0.00005426057,0.0002332606,0.0001945511,0.0001733567,0.0001182529],"domain_scores_gemma":[0.9991763,0.0001113919,0.0001386089,0.0004748293,0.00007108416,0.0000277934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001517931,0.0002376166,0.001689561,0.0001272074,0.00001558414,0.000001953588,0.000464937,0.007522669,0.0335784,0.9095325,0.0005537411,0.04626067],"study_design_scores_gemma":[0.00154788,0.0005499362,0.03241256,0.0001632047,0.00001702873,0.00001581689,0.0001109369,0.08510854,0.589843,0.2750415,0.0145226,0.0006670091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04633332,0.0001844322,0.9169109,0.0004153463,0.0001059442,0.0001235071,0.000001754645,0.00005709884,0.03586763],"genre_scores_gemma":[0.7835078,0.000004334715,0.2163093,0.0001142226,0.000003957006,0.000003347808,6.17827e-7,0.000002388793,0.00005405586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7371745,"threshold_uncertainty_score":0.2140875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273159868226076,"score_gpt":0.2440746457306009,"score_spread":0.2213430470483402,"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."}}