{"id":"W3124930016","doi":"","title":"Total Factor Productivity and Canadian Softwood Lumber Imports","year":2006,"lang":"en","type":"article","venue":"2006 Annual meeting, July 23-26, Long Beach, CA","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softwood; Total factor productivity; Productivity; Agricultural economics; Economics; International trade; Pulp and paper industry; Engineering; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003437538,0.0002947688,0.0002567165,0.002107918,0.001423154,0.002090462,0.0005017954,0.0003496907,0.01365896],"category_scores_gemma":[0.002444447,0.0001915546,0.0006585066,0.004923784,0.0005843493,0.0005439205,0.0006039807,0.0008234081,0.0006970001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03481807,"about_ca_system_score_gemma":0.02666328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957113,"about_ca_topic_score_gemma":0.9968845,"domain_scores_codex":[0.9995048,0.00001332572,0.00001354027,0.00006203816,0.0002093559,0.0001968947],"domain_scores_gemma":[0.9977612,0.0001755617,0.0003224728,0.00005508048,0.001373967,0.0003116729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004601734,0.0000657569,0.8971462,0.0001615038,0.0002330984,0.0004994076,0.001573878,0.005455459,0.0004432789,0.01845229,0.0395132,0.03599583],"study_design_scores_gemma":[0.00001702175,0.00001295623,0.9767246,0.00007761073,0.00007413561,0.00008389305,0.001230225,0.001903343,0.0002439585,0.0007439955,0.01885736,0.00003082546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8682578,0.003987303,0.0003356217,0.0037889,0.00006303849,0.00002389146,0.03607824,0.000091216,0.08737399],"genre_scores_gemma":[0.9721458,0.002035324,0.000164289,0.0001516367,0.0000194856,0.000008150635,0.00988559,0.00002499168,0.01556479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03481807,"threshold_uncertainty_score":0.252624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005030314368210275,"score_gpt":0.2054841871736224,"score_spread":0.2004538728054121,"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."}}