{"id":"W1969477751","doi":"10.1016/j.camwa.2003.06.010","title":"Multiquadric collocation method with integralformulation for boundary layer problems","year":2004,"lang":"en","type":"article","venue":"Computers & Mathematics with Applications","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences; Simon Fraser University","funders":"","keywords":"Collocation (remote sensing); Mathematics; Singular boundary method; Context (archaeology); Boundary (topology); Radial basis function; Orthogonal collocation; Transformation (genetics); Boundary value problem; Collocation method; Domain (mathematical analysis); Scheme (mathematics); Applied mathematics; Mathematical analysis; Computer science; Boundary element method; Finite element method; Differential equation; Ordinary differential equation; Artificial neural network","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":[],"consensus_categories":[],"category_scores_codex":[0.0004402135,0.0002903535,0.0004041393,0.0001668856,0.0003562188,0.0001381937,0.0002806249,0.00009523649,0.000009404707],"category_scores_gemma":[0.00007278509,0.0002069177,0.00009045506,0.0006709092,0.00009552415,0.0001882064,0.0000394513,0.000149492,0.00001331345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493091,"about_ca_system_score_gemma":0.0001420484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001394816,"about_ca_topic_score_gemma":0.00003330997,"domain_scores_codex":[0.9984424,0.00004256401,0.0005189972,0.0003961775,0.0003023564,0.000297518],"domain_scores_gemma":[0.9975453,0.0009325605,0.0004013605,0.0005977232,0.000395871,0.0001271691],"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":[0.0000515394,0.001304291,0.00002233478,0.0007385308,0.0001803979,4.130818e-7,0.002180379,0.007246294,0.0007053656,0.9322216,0.0001533903,0.05519547],"study_design_scores_gemma":[0.002168165,0.0004436529,0.00009151868,0.0003105262,0.0002913116,0.0000321328,0.0002838754,0.08964314,0.001660935,0.899487,0.005102053,0.0004856748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003460329,0.00002054499,0.9916776,0.0004910299,0.00003751257,0.003543691,0.00001726927,0.0002588913,0.0004931789],"genre_scores_gemma":[0.05244443,0.000004655867,0.9439481,0.00007606174,0.00007190385,0.00317616,0.00007272936,0.00007132535,0.0001346445],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08239684,"threshold_uncertainty_score":0.8437859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06217728428811711,"score_gpt":0.365189618716003,"score_spread":0.3030123344278859,"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."}}