{"id":"W6939404956","doi":"10.60692/y0j90-3ve48","title":"A Chebyshev spectral method based on operational matrix for fractional differential equations involving non-singular Mittag-Leffler kernel","year":2018,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Chebyshev polynomials; Chebyshev filter; Algebraic equation; Convergence (economics); Chebyshev equation; Kernel (algebra); Fractional calculus; Chebyshev pseudospectral method; Spectral method","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":[0.0005918446,0.0005771487,0.0007162218,0.0006545516,0.0006487908,0.000664676,0.0007568701,0.0008294635,0.00168111],"category_scores_gemma":[0.001042364,0.0002111384,0.0006718205,0.0006275178,0.001013686,0.0013408,0.0007918883,0.001322291,0.0003946311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005386419,"about_ca_system_score_gemma":0.0009872175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002977577,"about_ca_topic_score_gemma":0.002432729,"domain_scores_codex":[0.9997659,0.00008762343,0.00001343263,0.00002884899,0.00008046524,0.00002367091],"domain_scores_gemma":[0.9997548,0.0001002562,0.00002444123,0.00002692549,0.00007234795,0.00002119934],"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":[0.00008376184,0.0001194714,0.0008755052,0.000324924,0.00006593693,0.0002471604,0.0004541615,0.2953564,0.02595628,0.6024498,0.001550524,0.07251593],"study_design_scores_gemma":[0.000008502851,0.00003010368,0.00007548113,0.00001298324,0.000008394867,0.00005106871,0.00003278746,0.9705828,0.001753797,0.02542908,0.002000256,0.0000148338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01241011,0.0002894976,0.9836127,0.0001191932,0.00007187285,0.00003307546,0.00001488908,0.00005133284,0.00339735],"genre_scores_gemma":[0.5435467,0.001123397,0.4443036,0.0001855032,0.0001564026,0.0002327497,0.00008061594,0.0001007357,0.01027025],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002977577,"threshold_uncertainty_score":0.00592047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07531201688833647,"score_gpt":0.3227949344912009,"score_spread":0.2474829176028644,"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."}}