{"id":"W2915794326","doi":"10.1257/mac.20190303","title":"A Theory of Structural Change That Can Fit the Data","year":2022,"lang":"en","type":"preprint","venue":"American Economic Journal Macroeconomics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deci-; Preference; Class (philosophy); Aggregate (composite); Econometrics; Consumption (sociology); Revealed preference; Monotonic function; Economics; Mathematical economics; Preference theory; Mathematics; Microeconomics; Computer science; Political science; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003761564,0.0007688425,0.002219962,0.0004777084,0.0005728058,0.0004602329,0.006111078,0.0002063793,0.0047285],"category_scores_gemma":[0.00008393659,0.0007901459,0.0007152332,0.000087256,0.001160322,0.0006060913,0.005935408,0.002144831,0.0001427645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512243,"about_ca_system_score_gemma":0.0004791339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004320278,"about_ca_topic_score_gemma":0.0006289078,"domain_scores_codex":[0.9947843,0.0001980556,0.002556633,0.001464908,0.00005420388,0.0009418805],"domain_scores_gemma":[0.9883172,0.0004495836,0.007192457,0.003711233,0.00003139272,0.0002981319],"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":[0.0004618606,0.0001061208,0.07927791,0.0001592058,0.003349657,0.00002741759,0.007618185,0.03072432,0.000001002891,0.8312047,0.006483042,0.04058656],"study_design_scores_gemma":[0.001411521,0.0003037635,0.01477086,0.00005724726,0.0002098529,0.0003905323,0.008164804,0.02736272,0.00001299737,0.7658154,0.1794038,0.002096546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426017,0.008465486,0.0004518585,0.006139413,0.008689933,0.001091949,0.02393169,0.00006163387,0.008566282],"genre_scores_gemma":[0.9883275,0.006092295,0.0007520741,0.001860404,0.001669592,0.0001211619,0.0003814268,0.0002013668,0.0005941789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1729207,"threshold_uncertainty_score":0.999455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300195895590784,"score_gpt":0.2861225809466126,"score_spread":0.1561029913875342,"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."}}