{"id":"W2087944907","doi":"10.5539/sar.v2n1p44","title":"Lumbering Activities and Market Equilibrium Analysis of Timber Industry in South Western Nigeria","year":2012,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Wood industry; Profit (economics); Truck; Agricultural economics; Market share; Agricultural science; Price elasticity of demand; Supply and demand; Economics; Business; Economy; Natural resource economics; Environmental science; Forestry; Engineering; Finance; Microeconomics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003595069,0.0001217244,0.0001491284,0.0005462822,0.0002363304,0.0007629108,0.0001575465,0.0002086385,0.0031126],"category_scores_gemma":[0.0005643761,0.000140418,0.0002690733,0.0003929907,0.000271739,0.0004484214,0.0002552414,0.0002268114,0.0001554613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007114764,"about_ca_system_score_gemma":0.0004629017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377866,"about_ca_topic_score_gemma":0.02055223,"domain_scores_codex":[0.9999048,0.00002697409,0.000005948239,0.00001989789,0.00001425551,0.00002814224],"domain_scores_gemma":[0.9997293,0.0001480463,0.0000676615,0.000005985945,0.00002963299,0.00001931066],"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":[0.0004390038,0.0004167283,0.7865113,0.00019572,0.0000787414,0.00340732,0.002671401,0.1304141,0.009814299,0.03973421,0.000584001,0.02573317],"study_design_scores_gemma":[0.00002473846,0.0002640282,0.6298204,0.00006899197,0.00004607213,0.0004021007,0.008695334,0.3464315,0.001758499,0.01076277,0.001695864,0.00002961786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981138,0.00004256197,0.0005210753,0.00002678139,6.368637e-7,0.000005490321,0.00003534254,0.000001297778,0.001253155],"genre_scores_gemma":[0.9992944,0.00004655609,0.0002077257,0.000002156194,5.599959e-7,0.000003163643,0.00003512546,6.110025e-7,0.0004095071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377866,"threshold_uncertainty_score":0.02739692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0696215217128314,"score_gpt":0.4063084218366155,"score_spread":0.3366869001237841,"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."}}