{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01538213,0.003398317,0.002832042,0.005399023,0.002573097,0.008519745,0.006197499,0.002307818,0.5233603],"category_scores_gemma":[0.1304612,0.002575581,0.004748655,0.008637711,0.001969317,0.007680277,0.006157306,0.006537326,0.2984311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003476922,"about_ca_system_score_gemma":0.007521205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113438,"about_ca_topic_score_gemma":0.01112938,"domain_scores_codex":[0.9808393,0.005960931,0.002004572,0.00341123,0.00683873,0.0009453463],"domain_scores_gemma":[0.9401392,0.02631331,0.00265338,0.01582362,0.0136023,0.001468256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004781593,0.0001061466,0.001447332,0.0008478418,0.0001960802,0.0001092573,0.0003097394,0.00127118,0.001072117,0.007794962,0.9197285,0.06663867],"study_design_scores_gemma":[0.0003675228,0.0001671812,0.004154795,0.0007206598,0.0002034828,0.0002210743,0.000514379,0.01172792,0.007240108,0.04026191,0.9342149,0.0002060767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004140697,0.0008143118,0.4047499,0.007061743,0.004357062,0.003306707,0.3153562,0.1474238,0.1127896],"genre_scores_gemma":[0.04853622,0.001253944,0.3437209,0.004571545,0.001355972,0.01577335,0.2522578,0.1444667,0.1880636],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5233603,"threshold_uncertainty_score":0.6798687,"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."}}