{"id":"W2072220918","doi":"10.1139/x06-043","title":"Price linkages in the North American softwood lumber market","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Softwood; Market price; Error correction model; Short run; Agricultural economics; Financial economics; Econometrics; Monetary economics; Microeconomics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0002394219,0.0000850108,0.0001545103,0.0008986066,0.0005714012,0.001243202,0.000241549,0.0003054153,0.003630685],"category_scores_gemma":[0.001458728,0.0001222935,0.0001370446,0.001362613,0.0004765615,0.0009287772,0.0002816721,0.0003776917,0.000177737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003095265,"about_ca_system_score_gemma":0.001748432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4203947,"about_ca_topic_score_gemma":0.6343921,"domain_scores_codex":[0.9998529,0.00001284972,0.000005316316,0.00002488531,0.00006870858,0.00003527938],"domain_scores_gemma":[0.9994074,0.0001265555,0.0001920432,0.00001755904,0.0001979742,0.00005836655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005947612,0.0002763568,0.8357174,0.0000904469,0.0001507429,0.001640202,0.005845397,0.01570212,0.005815538,0.03113548,0.007526199,0.09550539],"study_design_scores_gemma":[0.00000997645,0.00002512913,0.9824579,0.000007959065,0.00001874549,0.00005774916,0.001681078,0.009345047,0.0002317208,0.002483791,0.003660816,0.0000200658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949751,0.0001243887,0.0001272637,0.000292018,0.000002925852,0.000002560785,0.0001312393,0.000006823057,0.004337711],"genre_scores_gemma":[0.9986829,0.0001333209,0.00007196083,0.00003438165,0.000004936081,0.000001621549,0.0001331388,0.000002175002,0.0009355283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5796052,"threshold_uncertainty_score":0.8358955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903140071340088,"score_gpt":0.2806114158082256,"score_spread":0.2615800150948248,"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."}}