{"id":"W4254386246","doi":"10.1016/b978-0-12-824372-5.00023-3","title":"Exergy and industrial ecology","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Process Optimization and Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Industrial ecology; Ecology; Environmental science; Industrial Revolution; Sustainable development; Process (computing); Engineering; Environmental economics; Process engineering; Computer science; Sustainability; Economics; Geography; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0000296787,0.0002036383,0.0002531025,0.00007111949,0.00002879781,0.00003029851,0.00007705938,0.0003871611,0.0002752264],"category_scores_gemma":[0.00001387876,0.0002065112,0.00004159475,0.000006550566,0.00003713974,0.00003317809,0.00002834909,0.0003555635,0.00008172874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003582796,"about_ca_system_score_gemma":0.00003313633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.324293e-8,"about_ca_topic_score_gemma":0.000009561794,"domain_scores_codex":[0.9994434,0.000004681027,0.0002088286,0.000168589,0.00007630025,0.00009816483],"domain_scores_gemma":[0.9997338,0.00001461011,0.00004248524,0.00009951489,0.00002954785,0.00008003687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004202122,6.648624e-7,0.000001591789,0.00003969292,0.00004512407,0.000005261988,0.00006609729,0.0001087316,0.00001286429,0.009022422,0.001525555,0.9891678],"study_design_scores_gemma":[0.0001979011,0.00003104382,0.000001467741,0.00005606819,0.00003090892,0.000005065755,0.000002427497,0.002038943,0.00006878449,0.002370154,0.9949872,0.0002100676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006487119,0.0004165057,0.00007609338,0.00006034709,0.0004153844,0.0001603444,0.00001457733,0.0001924114,0.9986578],"genre_scores_gemma":[0.002233041,0.0003940598,0.0002317248,0.0003411385,0.0004874664,0.00002057742,0.00005819264,0.00008139783,0.9961524],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9934616,"threshold_uncertainty_score":0.8421283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830541563992901,"score_gpt":0.2021336595197016,"score_spread":0.1838282438797726,"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."}}