{"id":"W388104822","doi":"","title":"Plenary lecture 1: exergy as a tool for sustainability","year":2008,"lang":"en","type":"article","venue":"International Conference on Energy & Environment","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Sustainability; Exergy efficiency; Environmental economics; Confusion; Computer science; Efficient energy use; Second law of thermodynamics; Presentation (obstetrics); Toolbox; Energy (signal processing); Process engineering; Management science; Risk analysis (engineering); Economics; Engineering; Ecology; Thermodynamics; Business; Mathematics","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":[0.001451102,0.00193253,0.001408172,0.001252797,0.001303832,0.0046904,0.001533225,0.003643679,0.08375276],"category_scores_gemma":[0.004516329,0.0004292363,0.00132615,0.0007538964,0.001311822,0.004369027,0.002626918,0.008529773,0.05033362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002652118,"about_ca_system_score_gemma":0.001001519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008038316,"about_ca_topic_score_gemma":0.0009285818,"domain_scores_codex":[0.999104,0.0001545159,0.00005006891,0.0002407295,0.0003318606,0.0001188705],"domain_scores_gemma":[0.9985641,0.0004417906,0.00006457846,0.00005882353,0.0004330954,0.0004376831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008578915,0.00009031841,0.0001636032,0.0003596641,0.00001195537,0.0001761794,0.0001940403,0.0004844143,0.000835731,0.02299296,0.918782,0.05582325],"study_design_scores_gemma":[0.00002236183,0.0001113191,0.000579895,0.0004641596,0.00001234306,0.0003951199,0.0002284585,0.0005354168,0.0004854756,0.02586419,0.9712722,0.00002905056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.002833105,0.06965469,0.02650202,0.206648,0.384251,0.0002803159,0.0009324972,0.0009567331,0.3079417],"genre_scores_gemma":[0.03089538,0.04910293,0.0102317,0.03278584,0.2064389,0.0002984451,0.0008133836,0.001505514,0.6679279],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08375276,"threshold_uncertainty_score":0.2801809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306053471015305,"score_gpt":0.2781918926672258,"score_spread":0.2551313579570727,"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."}}