{"id":"W4400088476","doi":"10.1007/978-3-031-60556-7_11","title":"Efficiencies and Irreversible Losses","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Materials science; Environmental science","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":[0.0007177219,0.0008635104,0.0007968871,0.0009673891,0.001047599,0.003729983,0.001425995,0.001487178,0.02861352],"category_scores_gemma":[0.002265005,0.0004917507,0.0004482028,0.0009913155,0.005583294,0.008494817,0.002198458,0.003231861,0.006876593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204203,"about_ca_system_score_gemma":0.000841339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006562784,"about_ca_topic_score_gemma":0.0006777443,"domain_scores_codex":[0.9993039,0.00009897321,0.00002164739,0.0001292463,0.000349185,0.00009697155],"domain_scores_gemma":[0.9994492,0.0001978456,0.0000364524,0.0002011685,0.0000886267,0.00002668003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003389352,0.000008609079,0.00001682712,0.00002341282,0.000002812971,0.00001154653,0.0000444624,0.0005230178,0.0001742132,0.9888152,0.003434504,0.006942049],"study_design_scores_gemma":[0.000001757043,0.000004994816,0.00007932427,0.00002365559,0.000002772055,0.00005672186,0.00003915016,0.0006740785,0.0006090201,0.9464556,0.0520482,0.0000047292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006763452,0.005483249,0.02978739,0.001852204,0.000348697,0.00003103989,0.0001043461,0.0001241019,0.9555055],"genre_scores_gemma":[0.1903224,0.007690563,0.006290848,0.0009881256,0.0005443221,0.0001198177,0.0001616323,0.0003842158,0.793498],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02861352,"threshold_uncertainty_score":0.09572172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008579411298983987,"score_gpt":0.227163875037822,"score_spread":0.218584463738838,"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."}}