{"id":"W2059712178","doi":"10.3390/axioms2020142","title":"A Sequential, Implicit, Wavelet-Based Solver for Multi-Scale Time-Dependent Partial Differential Equations","year":2013,"lang":"en","type":"article","venue":"Axioms","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Solver; Wavelet; Partial differential equation; Discretization; Computer science; Convergence (economics); Scale (ratio); Applied mathematics; Mathematical optimization; Algorithm; Linear system; Mathematics; Resolution (logic); Mathematical analysis; Artificial intelligence","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":[0.0007552642,0.0004025848,0.000502157,0.0002442104,0.0003065095,0.0004842934,0.00105913,0.0009191437,0.002226473],"category_scores_gemma":[0.001750884,0.0002870242,0.0004664784,0.000328951,0.0004099747,0.000695758,0.0007203261,0.0009613149,0.000571652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757843,"about_ca_system_score_gemma":0.001261173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578894,"about_ca_topic_score_gemma":0.00219267,"domain_scores_codex":[0.9997103,0.00004497838,0.00001422662,0.00002479904,0.0001882338,0.00001753478],"domain_scores_gemma":[0.9994916,0.0002402572,0.00004369812,0.00006023771,0.0001333569,0.00003082159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001982296,0.0002108615,0.00174891,0.0004418415,0.00007446994,0.0003215814,0.0003360462,0.6720713,0.07631152,0.06032839,0.002998845,0.184958],"study_design_scores_gemma":[0.00002282987,0.00003134253,0.00006616458,0.000006562155,0.000004163477,0.00003719618,0.000007672397,0.9930778,0.00307731,0.001051006,0.00261312,0.000004917757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01199762,0.0000673249,0.985552,0.00007851885,0.00004234167,0.00004713624,0.00004046822,0.0001885496,0.00198621],"genre_scores_gemma":[0.1363327,0.000182339,0.8582054,0.00005193933,0.00002751228,0.0002092588,0.0001314725,0.0001613614,0.004697888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002226473,"threshold_uncertainty_score":0.007448316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780453276265281,"score_gpt":0.3084834587079026,"score_spread":0.2606789259452498,"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."}}