{"id":"W3042484143","doi":"10.1007/s10596-020-09986-x","title":"Numerical modeling of a memory-based diffusivity equation and determination of its fractional order value","year":2020,"lang":"en","type":"article","venue":"Computational Geosciences","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"Discretization; Thermal diffusivity; Polygon mesh; Diffusion equation; Mass diffusivity; Mathematics; Darcy–Weisbach equation; Flow (mathematics); Porous medium; Applied mathematics; Mathematical analysis; Porosity; Geometry; Thermodynamics; Physics; Metric (unit); Geotechnical engineering; Geology","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":[0.0002981821,0.0004500553,0.0005197305,0.0006616908,0.0006286007,0.001064841,0.0009525084,0.001858951,0.0007574856],"category_scores_gemma":[0.001509495,0.0002512448,0.0004451696,0.0004751209,0.001061111,0.001334372,0.0006088063,0.0007987045,0.0001342479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008576322,"about_ca_system_score_gemma":0.0009872834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621384,"about_ca_topic_score_gemma":0.002532295,"domain_scores_codex":[0.9998966,0.00002665065,0.000007053097,0.00002222141,0.00003090901,0.00001661074],"domain_scores_gemma":[0.9996775,0.00014015,0.00005718349,0.00002935071,0.00007431451,0.00002141732],"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":[0.00006609549,0.00009356601,0.001155929,0.0001621436,0.00002709033,0.0002572411,0.0001854012,0.7368987,0.030231,0.2146657,0.0007519024,0.01550519],"study_design_scores_gemma":[0.000002678778,0.000005308834,0.00008963231,0.000005213774,0.000003052803,0.00002132724,0.000008064308,0.9928682,0.001308737,0.00531482,0.000367149,0.000005743647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1945571,0.002531735,0.7828473,0.0009984404,0.000283264,0.0000726603,0.0001062775,0.0001996928,0.01840349],"genre_scores_gemma":[0.9421982,0.0007635863,0.04895815,0.00007392026,0.00007710698,0.00006864344,0.00005455619,0.00005475614,0.00775103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004621384,"threshold_uncertainty_score":0.00918895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1129624956596186,"score_gpt":0.3402855683002596,"score_spread":0.227323072640641,"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."}}