{"id":"W2164997722","doi":"10.1016/j.cam.2013.02.015","title":"An exponentially convergent functional-discrete method for solving Sturm–Liouville problems with a potential including the Dirac<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si51.gif\" display=\"inline\" overflow=\"scroll\"><mml:mi>δ</mml:mi></mml:math>-function","year":2013,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Spectral Theory in Mathematical Physics","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Convergence (economics); Dirac (video compression format); Exponential function; Function (biology); Applied mathematics; Rate of convergence; Nonlinear system; Exponential growth; Mathematical analysis; Computer science; Quantum mechanics","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":[0.001577328,0.0006792034,0.0007112236,0.0006047938,0.0005402134,0.0005972141,0.001537156,0.001391925,0.003623689],"category_scores_gemma":[0.002099795,0.0002977211,0.0008020232,0.000460963,0.0009880408,0.000934593,0.001717162,0.001583829,0.0008141893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007648618,"about_ca_system_score_gemma":0.001459944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003326038,"about_ca_topic_score_gemma":0.004988758,"domain_scores_codex":[0.9997049,0.000126862,0.00001579096,0.00002795735,0.0001010241,0.00002340223],"domain_scores_gemma":[0.9993709,0.000310988,0.00002570805,0.00004523087,0.0001782461,0.00006899667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002544848,0.000323376,0.001082252,0.0006140802,0.0001263947,0.0004853982,0.0004651187,0.4510853,0.02027195,0.4036189,0.007533238,0.1141395],"study_design_scores_gemma":[0.00002070509,0.00003766025,0.00005108121,0.00001262575,0.00000630062,0.00002812111,0.00001574229,0.9875974,0.0005260205,0.009865499,0.001828913,0.000009880904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01020212,0.0002315983,0.9815491,0.0002894937,0.000183414,0.00006887827,0.00004320745,0.0001009794,0.007331256],"genre_scores_gemma":[0.25285,0.0004481056,0.7181399,0.0004801986,0.0001848841,0.000611116,0.0002005616,0.0003393397,0.02674594],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003623689,"threshold_uncertainty_score":0.01212245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605489555356553,"score_gpt":0.2729865866338944,"score_spread":0.2469316910803288,"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."}}