{"id":"W2943651721","doi":"10.5539/jas.v11n6p52","title":"Techno-economic Analysis (TEA) and Life Cycle Assessment (LCA) of a Low Temperature Closed-Cycle Grain Drying System","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Greenhouse gas; Environmental science; Grain drying; Electricity; Waste management; Agricultural engineering; Pulp and paper industry; Environmental engineering; Agricultural science; Production (economics); Engineering; Economics","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":[0.001427307,0.0007764957,0.0005899328,0.001271346,0.0004135287,0.001267663,0.0005912207,0.0006087904,0.002158038],"category_scores_gemma":[0.001843599,0.0003719926,0.001408193,0.001300609,0.0004128144,0.001223206,0.000388345,0.0005722833,0.0001894439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002953587,"about_ca_system_score_gemma":0.001564518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348358,"about_ca_topic_score_gemma":0.01126579,"domain_scores_codex":[0.9991779,0.000308861,0.00003600695,0.00009536985,0.0003016582,0.00008018655],"domain_scores_gemma":[0.9987072,0.0008408509,0.0001184006,0.00005990593,0.0002462086,0.00002745179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003821559,0.000248969,0.01024327,0.0002354376,0.0001251617,0.0001447514,0.00003066982,0.9420691,0.01504737,0.002981507,0.0003425837,0.02814898],"study_design_scores_gemma":[0.00003156527,0.0005255686,0.01472675,0.00001671683,0.00009490098,0.00005300085,0.0000842248,0.9703781,0.01026814,0.002384067,0.001398465,0.00003861045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8710083,0.0006894668,0.1124294,0.0001522969,0.00003908734,0.0004593416,0.001665118,0.0001885169,0.01336848],"genre_scores_gemma":[0.9855512,0.0002069743,0.01187869,0.00002089569,0.000004990585,0.000232949,0.0005896786,0.00002181237,0.001492823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348358,"threshold_uncertainty_score":0.02681023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006562432627236479,"score_gpt":0.2207141843358201,"score_spread":0.2141517517085836,"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."}}