{"id":"W2897882793","doi":"10.18280/mmep.050302","title":"Introducing exergy analysis in life cycle assessment: A case study","year":2018,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exergy; Life-cycle assessment; Environmental science; Economics; Engineering; Process engineering; Macroeconomics; Production (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":[0.002046876,0.0006978113,0.000522114,0.001335915,0.000818169,0.00188389,0.0008037105,0.001580027,0.001766396],"category_scores_gemma":[0.002298106,0.000331217,0.00106915,0.001800999,0.0008072147,0.001595769,0.000921377,0.001246672,0.0002691374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140005,"about_ca_system_score_gemma":0.0008862148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003638757,"about_ca_topic_score_gemma":0.005431127,"domain_scores_codex":[0.9990128,0.0005051158,0.00004059097,0.00006331002,0.0002959307,0.0000821716],"domain_scores_gemma":[0.9980868,0.001431899,0.00008436187,0.0001232207,0.0002207571,0.0000530236],"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":[0.000266503,0.0008603659,0.01078195,0.0008448952,0.0001372712,0.00391189,0.0008463199,0.785592,0.0131783,0.07317366,0.002297123,0.1081098],"study_design_scores_gemma":[0.00007452985,0.0009797395,0.005617482,0.000278052,0.0001282352,0.001460689,0.001307281,0.8817875,0.0267536,0.03940029,0.04208698,0.00012563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5434059,0.004712078,0.3952366,0.001549846,0.0001393166,0.0008224616,0.0006737451,0.0002839284,0.05317613],"genre_scores_gemma":[0.8617561,0.002265574,0.1297857,0.00008243582,0.00004091012,0.0002262444,0.0001705071,0.00006999187,0.005602555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003638757,"threshold_uncertainty_score":0.0108251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257381232034488,"score_gpt":0.2448620516781548,"score_spread":0.23228823935781,"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."}}