{"id":"W2014041542","doi":"10.5539/sar.v2n1p1","title":"Productivity of Timber Processing in Ondo State, Nigeria","year":2012,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Productivity; Scale (ratio); Truck; Agricultural science; Mill; Agricultural economics; Operations management; Remuneration; Electricity; Business; Variable cost; Returns to scale; Investment (military); Economics; Production (economics); Environmental science; Mathematics; Statistics; Engineering; Finance; Microeconomics; Economic growth; Automotive engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105467,0.000102529,0.0001332551,0.0002527313,0.0000664709,0.00003903677,0.0001342515,0.00006060869,0.00004658262],"category_scores_gemma":[0.00009461844,0.00007537925,0.00002191707,0.00159544,0.00005782683,0.000435623,0.0001031924,0.0002228157,0.00001591915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002474106,"about_ca_system_score_gemma":0.00003599355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007183861,"about_ca_topic_score_gemma":0.000122524,"domain_scores_codex":[0.9984648,0.00008316376,0.0001693911,0.0001378144,0.0003868378,0.0007580066],"domain_scores_gemma":[0.9993715,0.00001598086,0.00001866402,0.0001561334,0.0003506753,0.00008709381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000173716,0.002392329,0.5670636,0.02141001,0.0001384527,0.0001609186,0.0230413,0.05607111,0.05786954,0.02850942,0.2216589,0.02151072],"study_design_scores_gemma":[0.001062803,0.0001161304,0.4540315,0.000192874,0.00000815812,0.000009935051,0.03294381,0.0008925052,0.05958026,0.001786979,0.4486837,0.0006913402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377856,0.00218487,0.0004309495,0.0001415461,0.00008178883,0.0009395406,0.000002181637,0.0001369224,0.05829658],"genre_scores_gemma":[0.9871152,0.00005165028,0.0001338628,0.000002670724,0.00006199447,0.00007339439,0.00001034772,0.00001507105,0.01253583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2270249,"threshold_uncertainty_score":0.3073877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707324577586502,"score_gpt":0.2884504628257885,"score_spread":0.2713772170499235,"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."}}