{"id":"W194701825","doi":"","title":"Crude Oil, Palm Oil Stock and Prices: How They Link","year":2013,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distributed lag; Palm oil; Crude oil; Stock (firearms); Economics; Econometrics; Autoregressive model; Carbon stock; Oil price; Stock price; Palm; Cointegration; Environmental science; Monetary economics; Series (stratigraphy); Petroleum engineering; Agricultural science; Ecology; Climate change; Biology; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006314561,0.0002860043,0.0004032393,0.001987992,0.0001992524,0.002856106,0.0003108247,0.0007747222,0.002551752],"category_scores_gemma":[0.004831927,0.0002491617,0.0002715383,0.003059437,0.0006061011,0.003408933,0.0005657722,0.00091928,0.0004658594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006761266,"about_ca_system_score_gemma":0.000791073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006899952,"about_ca_topic_score_gemma":0.006804931,"domain_scores_codex":[0.9996748,0.0000854926,0.00003026615,0.00006864552,0.0001097099,0.00003106858],"domain_scores_gemma":[0.9983359,0.0008521353,0.0004278711,0.00004614679,0.0002797227,0.0000583615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002444891,0.0001782231,0.220576,0.002424297,0.001098309,0.001586354,0.001675247,0.008166689,0.002727002,0.3015477,0.01289379,0.4468819],"study_design_scores_gemma":[0.00003130497,0.0002501776,0.3980101,0.002226685,0.0006572298,0.001834775,0.004324266,0.01286381,0.00176201,0.3134952,0.2643524,0.0001920884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2361161,0.6564087,0.01627707,0.0260915,0.001245131,0.00005525016,0.00127418,0.00008016206,0.0624519],"genre_scores_gemma":[0.6216167,0.3610789,0.004144484,0.001425396,0.001051592,0.00002331167,0.0004255062,0.00002577656,0.01020829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006899952,"threshold_uncertainty_score":0.01371956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293358435946933,"score_gpt":0.2095901845543728,"score_spread":0.1866566001949034,"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."}}