{"id":"W2118779383","doi":"10.1016/j.matpur.2006.01.002","title":"Potential theory and optimal convergence rates in fast nonlinear diffusion","year":2006,"lang":"fr","type":"article","venue":"Journal de Mathématiques Pures et Appliquées","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Physics; Mathematics; Humanities; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001806786,0.0003825286,0.0004478698,0.000207248,0.0001589431,0.0006370192,0.000549386,0.0002372109,0.00004684387],"category_scores_gemma":[0.0001813535,0.0003576773,0.0001110343,0.0002312886,0.0001925519,0.00101138,0.0003912414,0.0009492342,0.00001624229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001413976,"about_ca_system_score_gemma":0.0001230327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004473728,"about_ca_topic_score_gemma":0.00001435478,"domain_scores_codex":[0.9974226,0.0003338713,0.0008032072,0.0003789855,0.0003912293,0.0006700549],"domain_scores_gemma":[0.9986188,0.0005034351,0.0002701796,0.0002671422,0.0001351654,0.0002052549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006075007,0.000307777,0.0001775128,0.0004086029,0.00002200946,0.0005060162,0.002132264,0.2602319,0.009388245,0.7210447,0.0003302789,0.005389987],"study_design_scores_gemma":[0.0003327242,0.00007933664,0.0009270558,0.0005625742,0.00001840391,0.001210158,0.0001145257,0.668983,0.00171289,0.3250629,0.0006863105,0.000310138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2578933,0.005104973,0.7342821,0.001747117,0.000361614,0.000176606,0.000005793009,0.00008233987,0.0003461944],"genre_scores_gemma":[0.4505249,0.002171576,0.5458388,0.0002217715,0.0004195215,0.00002038552,0.00000204225,0.00004921813,0.0007518476],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4087511,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008230558946684466,"score_gpt":0.2689453130770441,"score_spread":0.2607147541303597,"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."}}