{"id":"W2299931474","doi":"10.3233/ifs-151858","title":"Generalized statistically convergent sequences of fuzzy numbers","year":2016,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Approximation Theory and Sequence Spaces","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Sequence (biology); Fuzzy logic; Cauchy distribution; Fuzzy number; Object (grammar); Cauchy sequence; Pure mathematics; Applied mathematics; Discrete mathematics; Fuzzy set; Artificial intelligence; Mathematical analysis; Computer science","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":[0.002160007,0.0006197601,0.0005172964,0.001821614,0.0005369558,0.001223106,0.00074944,0.0006254641,0.002321452],"category_scores_gemma":[0.005430064,0.0002561583,0.0007951903,0.0008255619,0.002273618,0.002105842,0.00138628,0.001364283,0.0002275227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102346,"about_ca_system_score_gemma":0.001127479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008433584,"about_ca_topic_score_gemma":0.0006813746,"domain_scores_codex":[0.9984142,0.0004554988,0.00009485574,0.0002508677,0.0006604704,0.0001241496],"domain_scores_gemma":[0.9971201,0.0008985062,0.0004831467,0.0001836851,0.001050384,0.0002640942],"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":[0.00007164475,0.00002408906,0.001174638,0.0001063472,0.00003779588,0.0003885789,0.0003257076,0.02125064,0.009810554,0.9566798,0.0003893493,0.009740936],"study_design_scores_gemma":[0.00002822551,0.0001858082,0.002376349,0.00005570193,0.00002501899,0.0007066001,0.0003197708,0.2234979,0.007764233,0.7598037,0.005181566,0.00005519781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3529665,0.0009772661,0.6295577,0.0005298983,0.0001274236,0.00006489697,0.0001699796,0.0001409969,0.01546534],"genre_scores_gemma":[0.9037582,0.000811669,0.08598277,0.0002282679,0.0001656503,0.0001610429,0.0002685954,0.00005076309,0.008572917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002321452,"threshold_uncertainty_score":0.01142335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05366005566159959,"score_gpt":0.3232235549084178,"score_spread":0.2695634992468182,"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."}}