{"id":"W3123802686","doi":"10.21144/wp19-18","title":"What Drives Inventory Accumulation? News on Rates of Return and Marginal Costs","year":2019,"lang":"en","type":"article","venue":"Federal Reserve Bank of Richmond Working Papers","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Marginal cost; Econometrics; Natural resource economics; Environmental science; Microeconomics","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":[0.002699178,0.0003959613,0.0004903927,0.001751809,0.0004827473,0.006204928,0.0004351145,0.00202343,0.00818263],"category_scores_gemma":[0.02863086,0.000680529,0.0003510761,0.001548668,0.000894147,0.004202764,0.0004181837,0.002448894,0.002378728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101624,"about_ca_system_score_gemma":0.0005434604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008046091,"about_ca_topic_score_gemma":0.005146835,"domain_scores_codex":[0.9994156,0.0001240921,0.00006245289,0.0001052929,0.000197939,0.00009468811],"domain_scores_gemma":[0.9795476,0.01149889,0.003844423,0.0009570023,0.003426858,0.0007251276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002625649,0.0002270967,0.1201365,0.0009410163,0.0003914718,0.001319005,0.002512864,0.01065195,0.004347831,0.1380711,0.4197089,0.2990665],"study_design_scores_gemma":[0.0001768683,0.0002105204,0.4133798,0.001565596,0.0003108964,0.0008077575,0.004961395,0.02026447,0.007367766,0.1573302,0.3932129,0.0004118261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4990857,0.05340783,0.01032439,0.2440947,0.01186494,0.0000356214,0.009359627,0.0006339249,0.1711933],"genre_scores_gemma":[0.9542933,0.01621579,0.0008599432,0.004301206,0.004981447,0.00001217657,0.001176029,0.000278639,0.01788141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00818263,"threshold_uncertainty_score":0.02737355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0880917476656326,"score_gpt":0.2820330121258726,"score_spread":0.19394126446024,"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."}}