{"id":"W4211181900","doi":"10.1016/j.fuel.2022.123503","title":"Thermoeconomic and impact assessments of trigeneration systems with various fuels","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Environmental science; Exergy; Renewable energy; Natural gas; Waste management; Diesel fuel; Greenhouse gas; Hydrogen production; Capital cost; Process engineering; Hydrogen; Engineering; Chemistry","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":[0.001816957,0.001137884,0.0006511801,0.002357496,0.0007566924,0.001427171,0.0009753053,0.0008404332,0.004456619],"category_scores_gemma":[0.001722128,0.0003988766,0.001063855,0.002148171,0.0007186277,0.002036656,0.0009891937,0.0008275203,0.0004527273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00365726,"about_ca_system_score_gemma":0.0008559891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105086,"about_ca_topic_score_gemma":0.02358245,"domain_scores_codex":[0.9991285,0.0003250174,0.0000372286,0.00007751829,0.0003067013,0.0001249451],"domain_scores_gemma":[0.9987825,0.0005995581,0.000081135,0.00007385616,0.0003860078,0.00007703078],"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":[0.006416401,0.001049611,0.02610929,0.0004992782,0.0002570255,0.0005776956,0.0001261147,0.889563,0.02480601,0.006208006,0.002119695,0.0422678],"study_design_scores_gemma":[0.0004545274,0.008400146,0.1098408,0.0001071294,0.0006240366,0.0002437092,0.001540156,0.7916225,0.06995829,0.00780275,0.009209568,0.0001964064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778233,0.0004687787,0.002527419,0.0001844516,0.00003978253,0.000155622,0.001559702,0.00005961884,0.01718147],"genre_scores_gemma":[0.9971541,0.0001583567,0.0003844039,0.00001509434,0.00000603852,0.00002780417,0.0004194863,0.00001227652,0.001822412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105086,"threshold_uncertainty_score":0.02653545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315796913278088,"score_gpt":0.2503793235490194,"score_spread":0.2372213544162385,"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."}}