{"id":"W2043775458","doi":"10.1016/j.enpol.2004.01.004","title":"Energy and exergy utilization in agricultural sector of Saudi Arabia","year":2004,"lang":"en","type":"article","venue":"Energy Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"King Fahd University of Petroleum and Minerals","keywords":"Exergy; Exergy efficiency; Electricity; Environmental science; Energy conservation; Efficient energy use; Agriculture; Energy analysis; Environmental engineering; Diesel fuel; Waste management; Energy (signal processing); Engineering; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002744735,0.0001230528,0.0001069162,0.0004916167,0.0004148297,0.0007435062,0.0002242267,0.000211344,0.001594764],"category_scores_gemma":[0.0003305953,0.00009846978,0.0002068449,0.000845245,0.000223641,0.0004227003,0.0003076847,0.000162012,0.0001894938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002489911,"about_ca_system_score_gemma":0.001087704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06424637,"about_ca_topic_score_gemma":0.0902354,"domain_scores_codex":[0.9998966,0.00002261472,0.000007067762,0.000009180305,0.00001725692,0.00004726425],"domain_scores_gemma":[0.9997616,0.0000647628,0.00005296726,0.0000080646,0.00008696049,0.00002560943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002331103,0.0002964275,0.7590816,0.000609587,0.0002898368,0.002367457,0.008178577,0.05399202,0.03853925,0.04427317,0.002470118,0.08757085],"study_design_scores_gemma":[0.00001953203,0.0002484233,0.918801,0.0001095218,0.00009559521,0.0004337354,0.02216437,0.02533216,0.01442411,0.003476473,0.01486336,0.00003165132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981337,0.0002581486,0.00005674099,0.00007802028,0.000001517038,0.0000014388,0.00009202237,8.824177e-7,0.001377548],"genre_scores_gemma":[0.9987057,0.0002270444,0.00005689986,0.000008381491,0.000001123893,9.888179e-7,0.00005553409,8.156134e-7,0.0009435084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06424637,"threshold_uncertainty_score":0.1277448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817728540249011,"score_gpt":0.2756939136316321,"score_spread":0.257516628229142,"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."}}