{"id":"W2780234937","doi":"10.1177/0306419017749581","title":"Chemical exergy of ideal and non-ideal gas mixtures and liquid solutions with applications","year":2017,"lang":"en","type":"article","venue":"International Journal of Mechanical Engineering Education","topic":"Chemical and Physical Properties in Aqueous Solutions","field":"Chemical Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exergy; Exergy efficiency; Process engineering; Ideal (ethics); Ideal gas; Thermodynamics; Ideal solution; Chemical thermodynamics; Computer science; Engineering; Non-equilibrium thermodynamics; Physics","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":[0.0003955705,0.0007269942,0.00068183,0.001284012,0.000342283,0.001218789,0.0007006213,0.0009458375,0.003920369],"category_scores_gemma":[0.0009820566,0.0002663989,0.0006594663,0.0008209751,0.001317421,0.002093052,0.001158351,0.00102038,0.0007944495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005803555,"about_ca_system_score_gemma":0.0005051994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004105287,"about_ca_topic_score_gemma":0.0003376018,"domain_scores_codex":[0.9996705,0.00006143925,0.00002041751,0.00007234067,0.0001369051,0.00003839431],"domain_scores_gemma":[0.9998345,0.0000802812,0.00002768597,0.00001783835,0.00003046134,0.000009111285],"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":[0.00006459039,0.00009047116,0.0009207287,0.001427243,0.00002830661,0.0004354007,0.0001725182,0.058082,0.0329805,0.834839,0.003578504,0.06738077],"study_design_scores_gemma":[0.00001877305,0.0002293305,0.002103087,0.0003187192,0.00003824391,0.001444988,0.0002444586,0.2035099,0.03896433,0.6224752,0.130578,0.00007494682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09474962,0.1082123,0.6313552,0.002301817,0.002027375,0.0002643522,0.0007101837,0.0003581065,0.1600209],"genre_scores_gemma":[0.8089201,0.04881151,0.08262981,0.0005850717,0.001157357,0.0003491085,0.0006876987,0.0002393058,0.05661999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003920369,"threshold_uncertainty_score":0.01311499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008796696238721221,"score_gpt":0.245925640873659,"score_spread":0.2371289446349377,"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."}}