{"id":"W4401502231","doi":"10.3386/w32807","title":"Neural Network Learning for Nonlinear Economies","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial neural network; Nonlinear system; Computer science; Economics; Artificial intelligence; Physics","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":[0.00126336,0.0006448495,0.0006284369,0.0006450232,0.0004176944,0.00108298,0.0005026239,0.001154827,0.004021162],"category_scores_gemma":[0.006426251,0.0003117551,0.0004187194,0.0006661837,0.0009718987,0.001533824,0.001253102,0.001999305,0.0004554056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318413,"about_ca_system_score_gemma":0.0009893333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005370418,"about_ca_topic_score_gemma":0.004686465,"domain_scores_codex":[0.9995888,0.000158048,0.00002691039,0.00006990255,0.000122644,0.00003367583],"domain_scores_gemma":[0.9981759,0.001348673,0.0001187014,0.00007189342,0.0002440883,0.00004082605],"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":[0.00003786062,0.00002714207,0.0006186627,0.0001880102,0.0000630099,0.00007881753,0.00005803056,0.6901613,0.0009107297,0.2662612,0.002620081,0.03897527],"study_design_scores_gemma":[0.000005031104,0.00000604173,0.00006571074,0.0000126846,0.000003347141,0.000005746725,0.000004290255,0.907362,0.0001248882,0.09152161,0.0008850808,0.000003521926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01616541,0.006130186,0.9554083,0.002717786,0.0001802539,0.0000485961,0.0001501108,0.000224596,0.01897477],"genre_scores_gemma":[0.8027923,0.009704403,0.1633645,0.0004810056,0.0007125587,0.0004428193,0.0005117421,0.0001513398,0.02183931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005370418,"threshold_uncertainty_score":0.01345217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3055166375876319,"score_gpt":0.4624609255673831,"score_spread":0.1569442879797512,"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."}}