{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007065298,0.0002210558,0.0008527261,0.00007159881,0.00007979311,0.00009314613,0.0002118659,0.0001079028,0.0001057626],"category_scores_gemma":[0.0001077767,0.0002282705,0.0001235732,0.00007408542,0.00009432463,0.000319502,0.0001253611,0.0001407837,0.00002440072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003311695,"about_ca_system_score_gemma":0.00002200484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000196697,"about_ca_topic_score_gemma":0.00004334499,"domain_scores_codex":[0.9984429,0.00001422843,0.000748673,0.0005171751,0.0000149767,0.0002619702],"domain_scores_gemma":[0.998575,0.00008260899,0.0007278034,0.0004908055,0.00004920086,0.00007453466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001012149,0.00008196789,0.04420789,0.00851771,0.00008539899,8.369561e-7,0.0001327159,0.000005227919,0.000004026076,0.4038761,0.001025605,0.5420524],"study_design_scores_gemma":[0.0006764148,0.0001183301,0.0452958,0.001941254,0.00002458255,0.00001090075,0.00001479074,0.06075737,0.000004575309,0.07363502,0.8167764,0.0007445479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6514821,0.3188106,0.00008660163,0.00581818,0.0002449186,0.0002412128,0.0001996679,0.00001309281,0.02310369],"genre_scores_gemma":[0.2260574,0.770758,0.001357979,0.0005013888,0.00005627143,0.00005251461,0.00001110049,0.00001926604,0.001186098],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8157508,"threshold_uncertainty_score":0.9308602,"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."}}