{"id":"W2022854708","doi":"10.1016/j.forpol.2011.07.007","title":"The long-run determinants of U.S. lumber imported from Canada revisited","year":2011,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Foreign Agricultural Service","keywords":"Cointegration; Softwood; Economics; Exchange rate; Econometrics; Agricultural economics; Macroeconomics; Pulp and paper industry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009177899,0.0001016779,0.0001273862,0.00001905031,0.0001207879,0.00001882787,0.0002231966,0.00003693093,0.000583901],"category_scores_gemma":[0.00002510576,0.00007961563,0.00002946531,0.0000647676,0.0001848496,0.0001159276,0.0001896748,0.00004440849,0.00007855778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006485709,"about_ca_system_score_gemma":0.00004282837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9138113,"about_ca_topic_score_gemma":0.936789,"domain_scores_codex":[0.9993192,0.00001206276,0.0002397112,0.0001499244,0.00004104272,0.0002380639],"domain_scores_gemma":[0.9994681,0.00004038357,0.0001371819,0.0002641695,0.000002448952,0.00008774851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001807626,0.000008309808,0.9881915,0.000004032865,0.0000147108,0.000002278385,0.0001566854,0.00002287294,0.000001322274,0.002070148,0.005952747,0.003557322],"study_design_scores_gemma":[0.000161707,0.00002009364,0.9553193,0.00000487122,0.00001287096,0.000001936775,0.000009198703,0.001279965,0.0000733076,0.003084067,0.03992213,0.0001105579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654461,0.00002879081,6.643963e-7,0.00009290217,0.00006286086,0.00009790467,0.00004293879,0.000006002021,0.0342218],"genre_scores_gemma":[0.997091,0.0002742751,0.00004234527,0.000362975,0.00007926705,0.000004568883,0.000009984194,0.00001000984,0.002125578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03396939,"threshold_uncertainty_score":0.6393307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332965257074119,"score_gpt":0.2072623510560676,"score_spread":0.1939326984853264,"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."}}