{"id":"W4387036940","doi":"10.1016/j.jebo.2023.09.014","title":"Flexible time horizon planning, learning and aggregate fluctuations","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Time horizon; Stylized fact; Benchmark (surveying); Futures studies; Mathematical economics; Optimism; Econometrics; Microeconomics; Mathematics; Statistics","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":[0.002667579,0.0004568477,0.0009405781,0.0005344956,0.0004898025,0.001962067,0.0008931754,0.001184963,0.003633312],"category_scores_gemma":[0.01664534,0.000502444,0.0005787017,0.0008953763,0.001343661,0.003192578,0.0007700814,0.001411618,0.0001959557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461067,"about_ca_system_score_gemma":0.0009689032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006508909,"about_ca_topic_score_gemma":0.006354474,"domain_scores_codex":[0.9994671,0.0001839792,0.00003487103,0.0001188409,0.00007968353,0.0001154993],"domain_scores_gemma":[0.991392,0.006570161,0.0009831651,0.0003695303,0.0003409,0.0003441161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000162452,0.00008762709,0.002957251,0.00005104335,0.00007129883,0.000163713,0.0001082978,0.751431,0.0007037191,0.2235703,0.001396706,0.01929665],"study_design_scores_gemma":[0.00001236129,0.00002814438,0.001017821,0.000008190124,0.00001226493,0.00001974071,0.00002684012,0.7738073,0.0001259189,0.2246479,0.0002802207,0.00001326578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3893067,0.001753935,0.5938743,0.002745592,0.0001671323,0.00004542184,0.0003720475,0.0002584937,0.01147645],"genre_scores_gemma":[0.9884955,0.0004025677,0.008714211,0.00005105725,0.00004245655,0.0000193519,0.00007769925,0.0000260629,0.0021712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006508909,"threshold_uncertainty_score":0.01410764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401090824837682,"score_gpt":0.2494595293042424,"score_spread":0.2254486210558656,"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."}}