{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120001,0.0001649051,0.0004553876,0.00008923043,0.0002788231,0.0001997319,0.0005164316,0.00009217511,0.00002515237],"category_scores_gemma":[0.00004875348,0.00005499156,0.0002374854,0.001163207,0.0001331628,0.0006022603,0.0001187224,0.0002508637,0.00000428669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473725,"about_ca_system_score_gemma":0.00006461185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002677925,"about_ca_topic_score_gemma":0.00008007477,"domain_scores_codex":[0.9982309,0.00005180096,0.0005453114,0.0003092753,0.0005467596,0.0003158977],"domain_scores_gemma":[0.998724,0.00008962969,0.0006046048,0.00007657886,0.0002716737,0.0002335069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001357798,0.00004183999,0.008477223,0.00002853963,0.00007902254,0.000002291611,0.0001275186,0.01705108,0.9710698,0.0003065128,0.0000290309,0.00277352],"study_design_scores_gemma":[0.0003242921,0.0005320146,0.9694055,0.0002544823,0.0001621256,0.000091175,0.006283367,0.01077418,0.01177727,0.00004447795,0.00004158826,0.0003095676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984168,0.0002035947,0.000003839855,0.0006561569,0.0002418938,0.0001326247,0.00001169318,0.00002303229,0.0003103047],"genre_scores_gemma":[0.9992912,0.00003478736,0.0004390698,0.00003466217,0.0001517499,0.000001550035,0.000002737341,7.775103e-7,0.00004340969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9609283,"threshold_uncertainty_score":0.2242491,"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."}}