{"id":"W2075858322","doi":"10.1002/zamm.200510256","title":"Herschel-Bulkley diffusion filtering: non-Newtonian fluid mechanics in image processing","year":2006,"lang":"en","type":"article","venue":"ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Universität Innsbruck; Pacific Institute for the Mathematical Sciences","keywords":"Herschel–Bulkley fluid; Fluid mechanics; Non-Newtonian fluid; Mechanics; Newtonian fluid; Diffusion; Geology; Physics; Classical mechanics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003299198,0.0007305524,0.001317191,0.0007906578,0.0003361442,0.0007811536,0.001300195,0.0003570576,0.00002595794],"category_scores_gemma":[0.00009587257,0.0006233432,0.0002514192,0.0008406619,0.00003857867,0.000897425,0.0005915006,0.0007191097,0.00001698218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005896811,"about_ca_system_score_gemma":0.0002421068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001789861,"about_ca_topic_score_gemma":0.00001469444,"domain_scores_codex":[0.9954456,0.00006799299,0.001828447,0.0006754899,0.00108809,0.0008943729],"domain_scores_gemma":[0.9968545,0.000252866,0.001393277,0.000754595,0.0004080078,0.0003367853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005891458,0.0004351988,9.020688e-8,0.0005905392,0.00003888127,0.0001353455,0.001709078,0.00005739124,0.5547654,0.4355741,0.0001105631,0.006524442],"study_design_scores_gemma":[0.003180686,0.00034938,9.725222e-7,0.0009438884,0.0001447433,0.0005351518,0.000690582,0.2703916,0.2870443,0.4349959,0.0009873906,0.0007355143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006577862,0.000812487,0.9872339,0.0002153012,0.0003658958,0.0006172713,0.000006787588,0.000106222,0.004064271],"genre_scores_gemma":[0.1319996,0.0002975508,0.8670366,0.000186283,0.0002285751,0.00002957495,0.000004550039,0.0001181176,0.00009904018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2703342,"threshold_uncertainty_score":0.9996218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173634464987547,"score_gpt":0.2610216563202244,"score_spread":0.2492853116703489,"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."}}