{"id":"W7155159179","doi":"10.1108/j.jfe.2001.07.005","title":"Canadian Newsprint in the United States: a Multivariate Cointegration Analysis","year":2001,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Newsprint; Cointegration; Multivariate statistics; Multivariate analysis; Ordinary least squares","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004457286,0.0003002108,0.0003755823,0.002764337,0.001051945,0.001427466,0.0003932215,0.000267908,0.005519839],"category_scores_gemma":[0.00305006,0.0001676838,0.00042884,0.005862956,0.00035066,0.000612566,0.0004382066,0.0005947605,0.0003533018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009625049,"about_ca_system_score_gemma":0.00970321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9702517,"about_ca_topic_score_gemma":0.9726316,"domain_scores_codex":[0.9996355,0.0000270981,0.00001476466,0.00006102681,0.0001878267,0.00007378415],"domain_scores_gemma":[0.9989713,0.0001565981,0.0001642448,0.0000411112,0.0005645864,0.0001021388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004264516,0.0002073904,0.7381348,0.0002308965,0.0004900505,0.000896403,0.00189973,0.03061681,0.00157328,0.03001755,0.02829354,0.1672131],"study_design_scores_gemma":[0.00002835903,0.00004118729,0.9277719,0.00005426156,0.0001773582,0.00009020891,0.0012385,0.04455564,0.0005122902,0.001600309,0.02387057,0.00005939675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570587,0.002181249,0.003554214,0.001370113,0.00005653833,0.00007118361,0.007948669,0.0001335266,0.02762571],"genre_scores_gemma":[0.9866387,0.001396736,0.001724138,0.00007151171,0.00002690717,0.00001982937,0.004597239,0.00001992558,0.005505045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02974832,"threshold_uncertainty_score":0.06983495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05671109011207096,"score_gpt":0.235446462952729,"score_spread":0.178735372840658,"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."}}