{"id":"W2766310904","doi":"10.22436/jnsa.010.10.09","title":"Reduced differential transform method for solving time and space local fractional partial differential equations","year":2017,"lang":"en","type":"article","venue":"The Journal of Nonlinear Sciences and Applications","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health; King Saud University","keywords":"Mathematics; Mathematical analysis; Space (punctuation); Method of characteristics; Partial differential equation; Applied mathematics; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000742036,0.0001317031,0.0002198026,0.00009932051,0.002886908,0.0002485793,0.000386083,0.00006367682,0.00007559744],"category_scores_gemma":[0.0003535412,0.00008963847,0.0001092907,0.00008931055,0.0006596566,0.0003940105,0.00006869357,0.0002055277,0.000003318286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000294687,"about_ca_system_score_gemma":0.0001445872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004295884,"about_ca_topic_score_gemma":0.00004527446,"domain_scores_codex":[0.9988153,0.00005752913,0.000417637,0.0001636581,0.0003513245,0.0001945536],"domain_scores_gemma":[0.9972983,0.001580664,0.0005534498,0.0002257448,0.0002312495,0.0001105981],"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":[0.0003090248,0.001162103,0.00005824157,0.00008267428,0.0004124518,6.434037e-7,0.001136816,0.001561433,0.09112668,0.8146775,0.001503571,0.08796889],"study_design_scores_gemma":[0.001174826,0.0002650911,0.002312374,0.00005933306,0.0006266857,0.0001096435,0.0004329335,0.8552715,0.002758852,0.1332274,0.003495161,0.000266267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04131674,0.00005592324,0.9520147,0.005836165,0.0001267767,0.0004091173,0.00007679599,0.00001200524,0.0001517185],"genre_scores_gemma":[0.9308295,0.00009366268,0.06768971,0.00002586476,0.0009054018,0.00005653104,0.000009155789,0.00001515808,0.0003750283],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8895128,"threshold_uncertainty_score":0.9984112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07389100791465328,"score_gpt":0.3869491387008978,"score_spread":0.3130581307862444,"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."}}