{"id":"W4400821835","doi":"10.28924/2291-8639-22-2024-115","title":"Statistical Convergence with Rough I3-Lacunary and Wijsman Rough I3-Statistical Convergence in 2-Normed Spaces","year":2024,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Approximation Theory and Sequence Spaces","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lacunary function; Mathematics; Limit (mathematics); Limit of a sequence; Convergence (economics); Sequence (biology); Rough set; Normed vector space; Limit point; Discrete mathematics; Combinatorics; Pure mathematics; Mathematical analysis; Computer science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006772927,0.00116623,0.001132184,0.004750089,0.001483915,0.003276753,0.001653682,0.001089606,0.003370653],"category_scores_gemma":[0.01922079,0.0004932316,0.002425116,0.002042698,0.005010598,0.006149955,0.003631685,0.003100308,0.000606206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290021,"about_ca_system_score_gemma":0.00145865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002914667,"about_ca_topic_score_gemma":0.00180479,"domain_scores_codex":[0.9958637,0.001061856,0.0003927917,0.0007297217,0.001564197,0.0003877123],"domain_scores_gemma":[0.990352,0.003902847,0.001123739,0.0008066371,0.002982627,0.0008321814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004178938,0.00002446193,0.001355572,0.0001071088,0.00004791295,0.000228362,0.0003928781,0.01258756,0.002106021,0.9761481,0.0004215178,0.006538765],"study_design_scores_gemma":[0.000008847166,0.0001309221,0.001823513,0.00006920873,0.00002859869,0.0002738402,0.0003423213,0.1315687,0.002455538,0.8588888,0.004339684,0.00006987565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0838972,0.0009889702,0.9003891,0.0003936007,0.0001567659,0.0000835715,0.0001744067,0.0001227418,0.01379357],"genre_scores_gemma":[0.7595124,0.001774499,0.21995,0.0005050182,0.000414566,0.0004516542,0.0008268487,0.0002471233,0.01631792],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006772927,"threshold_uncertainty_score":0.03581905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689944237765551,"score_gpt":0.3393441975495745,"score_spread":0.322444755171919,"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."}}