{"id":"W4280648653","doi":"10.1016/j.bulsci.2022.103146","title":"Statistical weighted <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.svg\"><mml:mrow><mml:mo stretchy=\"true\">(</mml:mo><mml:msub><mml:mrow><mml:mi>N</mml:mi></mml:mrow><mml:mrow><mml:mi>λ</mml:mi></mml:mrow></mml:msub><mml:mo>,</mml:mo><mml:mi>p</mml:mi><mml:mo>,</mml:mo><mml:mi>q</mml:mi><mml:mo stretchy=\"true\">)</mml:mo></mml:mrow><mml:mrow><mml:mo stretchy=\"true\">(</mml:mo><mml:msub><mml:mrow><mml:mi>E</mml:mi></mml:mrow><mml:mrow><mml:mi>λ</mml:mi></mml:mrow></mml:msub><mml:mo>,</mml:mo><mml:mn>1</mml:mn><mml:mo stretchy=\"true\">)</mml:mo></mml:mrow><mml:mspace width=\"0.25em\"/><mml:mi>A</mml:mi></mml:math>-summability with application to Korovkin's type approximation theorem","year":2022,"lang":"lv","type":"article","venue":"Bulletin des Sciences Mathématiques","topic":"Approximation Theory and Sequence Spaces","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Convergence (economics); Mathematics; Statistical analysis; Algorithm; Combinatorics; Statistics","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01355148,0.004942146,0.001915873,0.003929782,0.01011674,0.009792357,0.01323599,0.01069736,0.8281393],"category_scores_gemma":[0.01237001,0.01022506,0.007809981,0.008355442,0.01356109,0.007266965,0.01058234,0.008958432,0.008143785],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854365,"about_ca_system_score_gemma":0.009166731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046416,"about_ca_topic_score_gemma":0.009326259,"domain_scores_codex":[0.9510356,0.004520337,0.009476252,0.009583302,0.01366196,0.01172258],"domain_scores_gemma":[0.960789,0.01011375,0.01182807,0.009090586,0.001631853,0.006546713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00677155,0.00162144,0.00006866668,0.004891794,0.005569203,0.003225181,0.007308397,0.005692921,0.004181323,0.4148637,0.5396398,0.006166022],"study_design_scores_gemma":[0.006661111,0.008975234,0.0001618869,0.005155691,0.007359791,0.006760926,0.01458607,0.01640909,0.9053749,0.01005272,0.009159297,0.00934328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3565212,0.004110717,0.006094828,0.003290444,0.007311671,0.000361824,0.002817711,0.001750787,0.6177409],"genre_scores_gemma":[0.9437426,0.004858978,0.01679999,0.004920685,0.006654282,0.01024209,0.007176439,0.004741975,0.0008630012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9011936,"threshold_uncertainty_score":0.9974199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972243794472223,"score_gpt":0.2538920980601276,"score_spread":0.2341696601154054,"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."}}