{"id":"W2762797004","doi":"10.1002/jae.2407","title":"Commodity Price Volatility and the Sources of Growth","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Economic and Social Research Council","keywords":"Economics; Volatility (finance); Econometrics; Human capital; Monetary economics; Economic growth","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":[0.0006728118,0.0002719969,0.000328598,0.00140194,0.0001576448,0.002064983,0.0002390781,0.0002415195,0.001796515],"category_scores_gemma":[0.005321925,0.000143441,0.000441107,0.001892095,0.0004945882,0.0008139632,0.0008549995,0.0007092356,0.0002381131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006624019,"about_ca_system_score_gemma":0.0004115239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003069586,"about_ca_topic_score_gemma":0.001372541,"domain_scores_codex":[0.9997439,0.00004380513,0.00002011,0.00005137437,0.0001014721,0.00003934418],"domain_scores_gemma":[0.9955562,0.002116101,0.001367807,0.0003144939,0.0004715201,0.0001739522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004052346,0.00006871807,0.7519373,0.0002396349,0.0005125065,0.001049791,0.0007631711,0.06454244,0.006113153,0.09206287,0.005079571,0.07722556],"study_design_scores_gemma":[0.00002587768,0.00009279879,0.7800148,0.0001447285,0.0002037088,0.0006562738,0.0009098243,0.08868628,0.00738132,0.1005389,0.02124974,0.00009565975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756212,0.002018353,0.005239706,0.000999478,0.00005179508,0.0000106369,0.001309881,0.0001207858,0.01462812],"genre_scores_gemma":[0.997804,0.0004455313,0.0002708838,0.00001974613,0.0000359331,0.000002905454,0.0006274313,0.00001915167,0.0007744521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003069586,"threshold_uncertainty_score":0.006103396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940424870759154,"score_gpt":0.1793725922834222,"score_spread":0.1599683435758307,"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."}}