{"id":"W2520743645","doi":"","title":"Efficiency analysis of the Canadian wood-product manufacturing subsectors: A DEA approach.","year":2007,"lang":"en","type":"article","venue":"Forest Products Journal","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulpwood; Veneer; Logging; Hardwood; Wood industry; Product (mathematics); Business; Forestry; Incentive; Agricultural science; Engineering; Pulp and paper industry; Operations management; Environmental science; Agricultural economics; Mathematics; Geography; Economics","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":[0.0008286564,0.0001643428,0.0002008969,0.0008634989,0.0002513223,0.00008441457,0.0004187599,0.00004836097,0.00005405004],"category_scores_gemma":[0.00007852643,0.0001182677,0.0001402843,0.00160607,0.0000761464,0.0001241804,0.00003892774,0.0002416042,0.000005385796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450299,"about_ca_system_score_gemma":0.00008491333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838915,"about_ca_topic_score_gemma":0.1242184,"domain_scores_codex":[0.9985479,0.00002458224,0.0003905686,0.0001998268,0.0003770374,0.000460058],"domain_scores_gemma":[0.9991503,0.000009339858,0.0001069387,0.0004415555,0.0001104274,0.0001813918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000223495,0.0001549617,0.1409996,0.0003062079,0.002044224,0.00003884428,0.00153904,0.8363691,0.001550802,0.004960837,0.006260594,0.005753421],"study_design_scores_gemma":[0.00035473,0.00003162982,0.9128531,0.00003614377,0.0006722709,0.00007405134,0.0001875962,0.01273558,0.03704995,0.000142989,0.03546426,0.0003977156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981308,0.0004133012,0.005242871,0.0001729766,0.001038748,0.000283797,0.000006587449,0.00006879991,0.01146495],"genre_scores_gemma":[0.9986642,0.00001863338,0.0007607618,0.00003154324,0.0002213716,0.000002002099,0.00001055343,0.00002444633,0.0002664758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8236336,"threshold_uncertainty_score":0.8917623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144216713240561,"score_gpt":0.2015228765390732,"score_spread":0.1900807094066676,"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."}}