{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002085607,0.000314846,0.0002655252,0.0001359553,0.0002660448,0.00004323872,0.0006060083,0.0002056361,0.004634845],"category_scores_gemma":[0.0003050354,0.000294877,0.0002290212,0.00008502894,0.0003156534,0.0001482088,0.0001475137,0.0002097729,0.00008583274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008688307,"about_ca_system_score_gemma":0.0003284921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002424345,"about_ca_topic_score_gemma":0.0001528808,"domain_scores_codex":[0.9974342,0.0001364856,0.000380838,0.0007189597,0.0007695602,0.0005599487],"domain_scores_gemma":[0.9987526,0.0001625597,0.00008898169,0.0005618805,0.0002633721,0.0001706159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008033406,0.0004267007,0.0005347517,0.00001363806,0.0001126411,0.0001000751,0.0001312694,0.0627365,0.0002972221,0.8862268,0.0002549104,0.04836217],"study_design_scores_gemma":[0.00119163,0.0008109603,0.003854029,0.00001872397,0.00001501492,0.00006597897,0.0003544994,0.01522473,0.004719323,0.5367184,0.4364206,0.0006060199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7017272,0.0002119792,0.01842041,0.02195138,0.0008594613,0.0008795591,0.0001256602,0.0002863024,0.2555381],"genre_scores_gemma":[0.9839985,0.0003281914,0.0003062701,0.0008166108,0.000204307,0.0003396981,0.0002105728,0.00002637397,0.01376946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4361658,"threshold_uncertainty_score":0.9999503,"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."}}