{"id":"W3003722756","doi":"10.5539/jmr.v12n1p74","title":"Determination of Time-Dependent Coefficients in Time-Fractional Diffusion Equations by Variational Iteration Method","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Mathematics; Fractional calculus; Nonlinear system; Inverse; Mathematical analysis; Expression (computer science); Inverse problem; Applied mathematics; Diffusion equation; Diffusion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186005,0.0007566005,0.001046201,0.0006983954,0.0006258287,0.0009186867,0.001043657,0.001255714,0.001516073],"category_scores_gemma":[0.001964194,0.0004185523,0.00100165,0.0006099577,0.001044323,0.001366716,0.001098133,0.001716073,0.0002632795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006951563,"about_ca_system_score_gemma":0.001495718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004067039,"about_ca_topic_score_gemma":0.002220769,"domain_scores_codex":[0.9996268,0.0001413853,0.00002104535,0.00005188873,0.0001213334,0.00003753908],"domain_scores_gemma":[0.9995422,0.000258202,0.00004138925,0.00002149102,0.0001138956,0.00002278988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005593777,0.00006619503,0.0009412653,0.0003792386,0.00006401651,0.0002761772,0.0003954607,0.5900325,0.03385506,0.319453,0.001154253,0.05332689],"study_design_scores_gemma":[0.000005219767,0.000009354721,0.00005181782,0.00001183243,0.000005114304,0.00003997159,0.00001338722,0.9831497,0.001516527,0.01415649,0.00102923,0.00001137351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004919033,0.0002384267,0.9924622,0.00008985784,0.0000318408,0.0000311292,0.00001361024,0.00002569104,0.002188268],"genre_scores_gemma":[0.3425035,0.001771595,0.6454131,0.0001160139,0.00009809645,0.00035103,0.0001167081,0.0001266861,0.00950323],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004067039,"threshold_uncertainty_score":0.008086741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437611632931644,"score_gpt":0.4430176189395471,"score_spread":0.2992564556463826,"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."}}