{"id":"W2162705251","doi":"10.1139/x00-069","title":"An econometric analysis of output supply and input demand in the Canadian softwood lumber industry","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softwood; Economics; Agricultural economics; Profit (economics); Pulpwood; Price elasticity of demand; Supply and demand; Econometric model; Econometric analysis; Wood industry; Factor price; Derived demand; Demand curve; Econometrics; Microeconomics; Pulp and paper industry; Forestry; Engineering; Geography","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":[0.0006510079,0.00036557,0.0003570151,0.001450176,0.001043515,0.001151799,0.0006967056,0.0003551575,0.003980553],"category_scores_gemma":[0.003179035,0.0003890315,0.0007203337,0.002862003,0.0006572914,0.000356019,0.0004045148,0.0007152515,0.0003556003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02577655,"about_ca_system_score_gemma":0.01607182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9838637,"about_ca_topic_score_gemma":0.9841325,"domain_scores_codex":[0.9994546,0.000072433,0.00001771894,0.00006418776,0.0002012843,0.0001898204],"domain_scores_gemma":[0.9991252,0.000389071,0.00007803219,0.0000279421,0.000316918,0.0000628494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006074227,0.0002842506,0.6283272,0.0003700597,0.0004233219,0.0008780037,0.002045966,0.246339,0.00478657,0.02826851,0.008300272,0.07936943],"study_design_scores_gemma":[0.00003536243,0.00007495,0.7080104,0.0000379058,0.0001784893,0.0001049009,0.003742364,0.2743686,0.001170565,0.001999349,0.01019737,0.00007979207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854494,0.0004142605,0.002711089,0.0004680343,0.000009630919,0.00005138898,0.002488194,0.00005037821,0.008357666],"genre_scores_gemma":[0.9903511,0.0004049019,0.001293015,0.000040439,0.000007729624,0.00001979527,0.002292858,0.00001124855,0.005578843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02577655,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522437020501954,"score_gpt":0.3027118240130657,"score_spread":0.2674874538080462,"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."}}