{"id":"W2211640282","doi":"10.1051/epjconf/201610801004","title":"Centrosymmetric Matrices in the Sinc Collocation Method for Sturm-Liouville Problems","year":2016,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Spectral Theory in Mathematical Physics","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sinc function; Sturm–Liouville theory; Collocation (remote sensing); Applied mathematics; Mathematics; Calculus (dental); Computer science; Mathematical analysis; Medicine; Boundary value problem","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009035496,0.0005117665,0.0004486805,0.0005304203,0.0004845081,0.0006098569,0.0006393806,0.0008325415,0.002345028],"category_scores_gemma":[0.002079958,0.0002894215,0.0003015703,0.0006293773,0.000869068,0.0006558551,0.0006511224,0.0008471701,0.0007071957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000563257,"about_ca_system_score_gemma":0.0009240298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005148103,"about_ca_topic_score_gemma":0.005087164,"domain_scores_codex":[0.9995814,0.0001635477,0.00001607788,0.00003448739,0.0001768986,0.0000275556],"domain_scores_gemma":[0.9992905,0.000298077,0.00006545885,0.0001084422,0.0001981248,0.00003946298],"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":[0.0001446719,0.00007850254,0.001210109,0.0001426231,0.00002751447,0.0001954039,0.0003509875,0.7274855,0.02545569,0.1627506,0.002390135,0.07976828],"study_design_scores_gemma":[0.000005486561,0.000007684998,0.00005405352,0.000003923975,0.000001061457,0.00000824811,0.0000125994,0.992677,0.001233036,0.005231528,0.0007608635,0.000004435781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02420132,0.00006382664,0.9721735,0.0001040755,0.0000369253,0.00003848011,0.00002824524,0.0001774395,0.003176135],"genre_scores_gemma":[0.356512,0.0001664674,0.6384646,0.0001020688,0.00003476214,0.0002048698,0.0001118488,0.000227185,0.004176108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005148103,"threshold_uncertainty_score":0.01023632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06951694876697387,"score_gpt":0.3634320201142821,"score_spread":0.2939150713473082,"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."}}