{"id":"W3199627032","doi":"10.53733/129","title":"Towards understanding the theoretical challenges of numerical modeling of dynamical systems","year":2021,"lang":"en","type":"article","venue":"New Zealand journal of mathematics","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computability; Principal (computer security); Dynamical systems theory; Computer science; Theoretical computer science; Management science; Data science; Mathematical economics; Epistemology; Mathematics; Engineering; Physics; Philosophy; Computer security","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":[0.001377955,0.0001349595,0.0005778462,0.00007244387,0.0000392868,0.00006266653,0.0007884167,0.00008372834,0.00001088677],"category_scores_gemma":[0.000367037,0.00008153115,0.0002077692,0.0002314126,0.0001135905,0.0001152195,0.0002602673,0.0002834827,7.031679e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008495372,"about_ca_system_score_gemma":0.0003180224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005496821,"about_ca_topic_score_gemma":9.913005e-7,"domain_scores_codex":[0.9977636,0.0001960165,0.0009293593,0.0001479711,0.0007630085,0.0002000868],"domain_scores_gemma":[0.9978182,0.0007882122,0.0004830374,0.0004456247,0.0003388269,0.0001261098],"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":[0.000006725418,0.0003426549,0.00003917533,0.0002024549,0.00008836306,0.00002416654,0.004397674,0.022813,0.00006514843,0.9697332,0.0000526072,0.002234853],"study_design_scores_gemma":[0.000251812,0.0001419184,0.00001678095,0.0001710572,0.0000272229,0.0004638533,0.001377767,0.6655129,0.0000572327,0.3319148,0.000007661463,0.00005700473],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0117104,0.001142287,0.9828244,0.003219284,0.0003512476,0.00007300551,0.00000124269,0.00001174058,0.0006663821],"genre_scores_gemma":[0.9118683,0.0001814805,0.08779553,0.00001123161,0.0001216562,3.753067e-7,1.218771e-7,0.000008857251,0.00001242814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9001579,"threshold_uncertainty_score":0.3324744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05862135315989966,"score_gpt":0.277216524275338,"score_spread":0.2185951711154384,"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."}}