{"id":"W65550363","doi":"","title":"Applications of exergy to enhance ecological and environmental understanding and stewardship","year":2009,"lang":"en","type":"article","venue":"International Conference on Energy & Environment","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Environmental stewardship; Environmental science; Ecological indicator; Stewardship (theology); Ecology; Systems ecology; Environmental impact assessment; Environmental resource management; Ecosystem; Engineering; Applied ecology; Biodiversity; Biology; Process engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001639827,0.0001406497,0.0001738844,0.00005020643,0.00009038673,0.00002484698,0.0001817527,0.00007556161,0.003260047],"category_scores_gemma":[0.00001394821,0.0001239671,0.00004068968,0.00005293625,0.0002071617,0.00007895733,0.0001326075,0.00006838221,0.00002942059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003749361,"about_ca_system_score_gemma":0.000003494736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009633954,"about_ca_topic_score_gemma":0.00005335723,"domain_scores_codex":[0.9987653,0.00004879609,0.0002513165,0.0004388567,0.0003182829,0.0001774859],"domain_scores_gemma":[0.9995356,0.00005840711,0.00008971538,0.0001672649,0.000002335625,0.0001467379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003820411,0.00263684,0.0939884,0.00001672947,0.0002053422,0.0000336531,0.001076736,0.02641804,0.04248926,0.4069398,0.0003075592,0.4255056],"study_design_scores_gemma":[0.0006785481,0.002200695,0.8169832,0.00004011628,0.00006701735,0.00001911572,0.004552914,0.01278971,0.004908402,0.1228999,0.03392391,0.0009365167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428082,0.00003847667,0.0343384,0.004321833,0.00003656329,0.0002778932,0.000025396,0.00002054011,0.01813272],"genre_scores_gemma":[0.9983266,0.0002262482,0.0003836671,0.0005525888,0.00001958211,0.00004224834,0.00001307554,0.00000342095,0.0004325437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7229947,"threshold_uncertainty_score":0.9976511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049215248497383,"score_gpt":0.2523766373937379,"score_spread":0.2318844849087641,"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."}}