{"id":"W3125535073","doi":"","title":"Optimal Growth and Uncertainty: Learning","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Anticipation (artificial intelligence); Consumption (sociology); Planner; Economics; Econometrics; Investment (military); Control (management); Optimal control; Computer science; Microeconomics; Artificial intelligence; Mathematics; Mathematical optimization","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":[0.001857376,0.0006100432,0.0007178509,0.000475214,0.0004183063,0.001815256,0.0006331921,0.001558016,0.00359475],"category_scores_gemma":[0.01133077,0.0002630376,0.0004892766,0.000588597,0.002252331,0.003095734,0.001241256,0.001852968,0.0003407718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575253,"about_ca_system_score_gemma":0.0006679778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790168,"about_ca_topic_score_gemma":0.00107968,"domain_scores_codex":[0.9992267,0.0003721611,0.00002281456,0.0001336947,0.0001345076,0.0001100392],"domain_scores_gemma":[0.9957786,0.00297865,0.0005455253,0.0002407924,0.0002353989,0.000220972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006059073,0.00005067313,0.0008990657,0.00006126399,0.00002474611,0.0001205541,0.0001546806,0.1516794,0.0006360901,0.8321366,0.001311362,0.01286508],"study_design_scores_gemma":[0.00002196096,0.00003080173,0.0004274006,0.00002498448,0.000007171319,0.00002458069,0.00004964361,0.2266146,0.0002904096,0.7705133,0.00198163,0.00001347759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2502663,0.004587399,0.6657799,0.01290273,0.0002255059,0.00005925731,0.0002636568,0.000219122,0.06569619],"genre_scores_gemma":[0.9586908,0.001704538,0.0279057,0.000459225,0.000198228,0.00007227293,0.00008829817,0.00005087214,0.01082996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00359475,"threshold_uncertainty_score":0.01202565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218182852135469,"score_gpt":0.2737109980898755,"score_spread":0.2315291695685208,"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."}}