{"id":"W3025908742","doi":"10.3233/jifs-179813","title":"Intelligence computing approach for solving second order system of Emden–Fowler model","year":2020,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Correctness; Sequential quadratic programming; Computer science; Variance (accounting); Artificial neural network; Convergence (economics); Consistency (knowledge bases); Scheme (mathematics); Algorithm; Quadratic equation; Mean squared error; Genetic algorithm; Standard deviation; Mathematical optimization; Mathematics; Quadratic programming; Artificial intelligence; Machine learning; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312926,0.0006051259,0.0006324403,0.0005220683,0.0005813094,0.0006567718,0.0008892149,0.001009185,0.002185612],"category_scores_gemma":[0.0008266978,0.000202185,0.0007604445,0.0003854205,0.0006301738,0.0007937877,0.0006106942,0.0008866628,0.0001973686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777032,"about_ca_system_score_gemma":0.0008021011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006028543,"about_ca_topic_score_gemma":0.003589993,"domain_scores_codex":[0.9998179,0.00005018178,0.00000818774,0.00003207376,0.00007129555,0.00002031014],"domain_scores_gemma":[0.9998604,0.0000609834,0.0000197524,0.0000111408,0.00003884356,0.000008789691],"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":[0.00003243074,0.00003532801,0.001116513,0.00023079,0.00006179527,0.000246255,0.0002238165,0.7801307,0.004268382,0.1954136,0.001241328,0.01699898],"study_design_scores_gemma":[0.000006862477,0.00002155367,0.0001397409,0.000009090438,0.00000647316,0.00004200082,0.0000220431,0.9845644,0.0003367928,0.01350462,0.001338651,0.000007817547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03121836,0.0016387,0.942712,0.0006166339,0.0002046613,0.00007390678,0.0000545271,0.00008674776,0.02339448],"genre_scores_gemma":[0.7643176,0.002108087,0.2163844,0.0002507207,0.0001432642,0.0003111281,0.0001231305,0.00005873004,0.01630295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006028543,"threshold_uncertainty_score":0.01198691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442356067506029,"score_gpt":0.3348100776592213,"score_spread":0.1905744709086184,"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."}}