{"id":"W2029913253","doi":"10.1016/j.jfe.2009.01.001","title":"Use of composite forest commodity price indices for cointegration analysis","year":2009,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cointegration; Econometrics; Commodity; Economics; Product (mathematics); Spot contract; Forest product; Time series; Financial economics; Mathematics; Statistics; Finance; Geography; Forestry","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":[0.001821836,0.0004406086,0.0005321075,0.002677235,0.0004075265,0.001412503,0.0005120973,0.0003170007,0.002943731],"category_scores_gemma":[0.008117046,0.0002678003,0.0006459388,0.003310987,0.0002974218,0.001690124,0.0007495554,0.0008668544,0.0004463018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974345,"about_ca_system_score_gemma":0.0007119699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692397,"about_ca_topic_score_gemma":0.003845619,"domain_scores_codex":[0.9994168,0.0002533268,0.00003508302,0.00008871668,0.0001685696,0.00003749696],"domain_scores_gemma":[0.9972288,0.001268993,0.0002162114,0.0005251647,0.0006889331,0.00007187441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004345197,0.0002269782,0.04744763,0.0001563114,0.0002690104,0.0005246589,0.0003681965,0.1486278,0.02444993,0.2585307,0.003743365,0.5152209],"study_design_scores_gemma":[0.00002997225,0.00007309313,0.01545498,0.00002189006,0.00007329885,0.0001208187,0.00005871171,0.9196149,0.006334884,0.05342623,0.004754597,0.00003664133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1054151,0.0002069947,0.887879,0.00006703071,0.00006534756,0.00004852682,0.0003627676,0.0004864449,0.005468827],"genre_scores_gemma":[0.5870004,0.0002100808,0.4102859,0.00002031058,0.00004015685,0.00007015986,0.0005891775,0.0002094161,0.001574395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002943731,"threshold_uncertainty_score":0.00984776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826698606753549,"score_gpt":0.2397128765651756,"score_spread":0.2014458904976401,"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."}}