{"id":"W2119432987","doi":"","title":"Discretization of the Poisson equation using the interpolating scaling function with applications","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Discretization; Mathematics; Scaling; Poisson's equation; Interpolation (computer graphics); Collocation (remote sensing); Applied mathematics; Mathematical analysis; Function (biology); Residual; Geometry; Algorithm; Computer science; Physics; Classical 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":[0.0008723143,0.0005054002,0.0004718123,0.0005866862,0.0003775325,0.0006002316,0.0005346501,0.0007257322,0.001156024],"category_scores_gemma":[0.001279747,0.0002915796,0.0007411273,0.0006800072,0.0007204675,0.0006981016,0.0008966185,0.001277782,0.0002542083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004711629,"about_ca_system_score_gemma":0.0006341829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848106,"about_ca_topic_score_gemma":0.001170476,"domain_scores_codex":[0.9997194,0.000100716,0.00001849489,0.00002314201,0.0001155346,0.00002270103],"domain_scores_gemma":[0.9996235,0.0001827371,0.00003423488,0.00004633172,0.00009334893,0.00001988397],"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":[0.00007085982,0.00005503074,0.001168887,0.0002038874,0.00003393134,0.0002779523,0.0003611754,0.4231229,0.03216007,0.4517986,0.001324115,0.08942262],"study_design_scores_gemma":[0.000006335018,0.00001689132,0.00008175415,0.000009361203,0.000002831056,0.00003794412,0.00001183472,0.9794244,0.002026974,0.01604323,0.00233231,0.000006202549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01756246,0.0005939335,0.9774065,0.0001545179,0.00007762005,0.00002290629,0.00001663553,0.0000843392,0.004081086],"genre_scores_gemma":[0.3443398,0.001706871,0.6479447,0.0001003673,0.0001138526,0.0001155944,0.00007650893,0.0001159798,0.005486353],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001848106,"threshold_uncertainty_score":0.00461328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09000195516347184,"score_gpt":0.2126020038031821,"score_spread":0.1226000486397102,"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."}}