{"id":"W4403838244","doi":"10.1016/j.energy.2024.133632","title":"Energy, exergy, exergo-economic and exergo-environmental analysis of waste heat-based convective dryer","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Exergy; Waste heat; Convection; Environmental science; Waste management; Process engineering; Energy (signal processing); Engineering; Mechanics; Mechanical engineering; Heat exchanger; Mathematics; Physics","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":[0.0002531718,0.0002965214,0.0005696996,0.0009530071,0.0003897511,0.0005400736,0.0004392848,0.0003186341,0.001706023],"category_scores_gemma":[0.0001991455,0.0002090636,0.0009223616,0.0006707681,0.0002998504,0.0005722389,0.0002645222,0.0003289582,0.0002445304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005407201,"about_ca_system_score_gemma":0.0002843371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00194722,"about_ca_topic_score_gemma":0.00261766,"domain_scores_codex":[0.9998701,0.00001762551,0.000007258979,0.00001528458,0.00007170445,0.00001801302],"domain_scores_gemma":[0.9999398,0.00003161929,0.000005783915,0.000004168334,0.00001501976,0.000003542191],"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":[0.0009717418,0.0002980328,0.01261321,0.0004977921,0.0001290234,0.000258355,0.0001106028,0.6482337,0.2880315,0.008532486,0.0004713016,0.03985215],"study_design_scores_gemma":[0.00004356731,0.0004123488,0.03708315,0.00002131723,0.0001026192,0.0001746764,0.0001559393,0.7212031,0.2342149,0.003812197,0.002740656,0.0000356128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593701,0.001186736,0.03136895,0.00004788291,0.0000141411,0.00003964949,0.0004149295,0.00005591447,0.00750166],"genre_scores_gemma":[0.9947554,0.0002553882,0.001682608,0.000005762614,0.000003297038,0.0000177174,0.0001692479,0.00001843875,0.003092238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00194722,"threshold_uncertainty_score":0.005707264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002934571246077998,"score_gpt":0.1806174047473885,"score_spread":0.1776828335013106,"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."}}