{"id":"W4405894672","doi":"10.1016/j.chaos.2024.115943","title":"Analysis of neural network methods for obtaining soliton solutions of the nonlinear Schrödinger equation","year":2024,"lang":"en","type":"article","venue":"Chaos Solitons & Fractals","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Russian Science Foundation","keywords":"Artificial neural network; Nonlinear system; Soliton; Nonlinear Schrödinger equation; Applied mathematics; Mathematics; Physics; Computer science; Quantum mechanics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009121278,0.0004441568,0.0003738138,0.000914037,0.0003798588,0.0005311471,0.0005267544,0.0006467591,0.002015649],"category_scores_gemma":[0.00334592,0.0002545903,0.0004569717,0.0004182607,0.0005740036,0.0008625445,0.0005057428,0.0006462848,0.000171157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008367997,"about_ca_system_score_gemma":0.0005869225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893243,"about_ca_topic_score_gemma":0.003267519,"domain_scores_codex":[0.9997981,0.00008594961,0.00001006277,0.00001802292,0.0000734952,0.00001434707],"domain_scores_gemma":[0.998778,0.0009483838,0.00006724805,0.00002941963,0.0001582307,0.00001869159],"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":[0.00009747485,0.00009524882,0.0006565312,0.0002394804,0.00007805518,0.00007580939,0.0001043546,0.8203504,0.005268089,0.1275375,0.001029352,0.04446779],"study_design_scores_gemma":[0.000002137361,0.000004500565,0.00006281207,0.000003379161,0.000002736382,0.000005538545,0.000002999292,0.9920025,0.0002205305,0.007587436,0.0001032744,0.000002203277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1144926,0.001523427,0.8681082,0.0006993348,0.00009608329,0.00008974552,0.00008913667,0.000183121,0.01471836],"genre_scores_gemma":[0.8509473,0.001315113,0.1329687,0.0001345674,0.0001629473,0.0002506854,0.0001493027,0.0001315683,0.01393982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002893243,"threshold_uncertainty_score":0.006743014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06892990821368282,"score_gpt":0.378174930575658,"score_spread":0.3092450223619752,"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."}}