{"id":"W4386016718","doi":"10.1016/j.chaos.2023.113928","title":"Nonlinear modeling of sparkling drink bubbles using a physics informed long short term memory network","year":2023,"lang":"en","type":"article","venue":"Chaos Solitons & Fractals","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bubble; Lyapunov exponent; Correlation dimension; Nonlinear system; Chaotic; Dimension (graph theory); Artificial neural network; Statistical physics; Physics; Computer science; Artificial intelligence; Mathematics; Mechanics; Mathematical analysis; Fractal dimension; Fractal","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":[],"consensus_categories":[],"category_scores_codex":[0.0004513818,0.0002219767,0.0003342354,0.0001552586,0.0002162685,0.0001485754,0.0006236605,0.0001156313,0.000004374986],"category_scores_gemma":[0.00003164508,0.0002245444,0.000153606,0.0007481722,0.0000427596,0.0009810657,0.0004275769,0.0002215412,0.00004108572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006656129,"about_ca_system_score_gemma":0.000219615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005796992,"about_ca_topic_score_gemma":0.00002712635,"domain_scores_codex":[0.9981484,0.00003441918,0.0005846173,0.0002972568,0.0003874898,0.0005477585],"domain_scores_gemma":[0.9988282,0.0001171773,0.0001967424,0.0005957393,0.0001566625,0.0001054467],"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":[0.00001257931,0.00009811515,0.00963421,0.0002670841,0.0001014491,0.00002756574,0.00291615,0.9524717,0.003561015,0.000927215,0.00005949682,0.02992338],"study_design_scores_gemma":[0.0001405809,0.00002304711,0.0004750115,0.0002146243,0.00001526783,0.0000110052,0.00007338859,0.9961277,0.00163733,0.001013367,0.00003071238,0.0002380046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5828632,0.0000393507,0.4158355,0.00003837516,0.0004070923,0.0001631833,0.00001157726,0.0001500028,0.0004917247],"genre_scores_gemma":[0.9637051,0.00007102684,0.03523913,0.0000784775,0.0007298458,0.000009002039,0.00009841084,0.00002938801,0.00003964503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3808419,"threshold_uncertainty_score":0.9156657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05183782355022537,"score_gpt":0.3019265599725233,"score_spread":0.2500887364222979,"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."}}