{"id":"W6884646271","doi":"10.11575/prism/40195","title":"Increasing efficiency of the University of Calgary's cogeneration plant by capturing surplus heat","year":2022,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cogeneration; Electricity; Payback period; Electricity generation; Power station; Resource (disambiguation); Rankine cycle; Scope (computer science); Degree Rankine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005332017,0.0003057906,0.0002038535,0.0008035842,0.0009710222,0.001932315,0.0006117652,0.0005040913,0.008092038],"category_scores_gemma":[0.0009039161,0.0001246472,0.0002858281,0.001075809,0.0004668901,0.0007020978,0.000975819,0.0004024377,0.00140733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003583277,"about_ca_system_score_gemma":0.002655866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08368247,"about_ca_topic_score_gemma":0.1606697,"domain_scores_codex":[0.9994389,0.00006323757,0.00001037185,0.00007671525,0.000222049,0.000188689],"domain_scores_gemma":[0.9997367,0.00006947847,0.00002406852,0.00003440353,0.00009337268,0.00004204496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001498254,0.0009969801,0.08788265,0.0009654892,0.00007979299,0.001270584,0.001575095,0.09404162,0.115713,0.02074171,0.01345119,0.6617836],"study_design_scores_gemma":[0.0004252102,0.003062593,0.4297899,0.0003900774,0.0002051489,0.0006262683,0.00794661,0.09250008,0.2387003,0.006042655,0.2201002,0.0002109762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859454,0.0005405503,0.007876869,0.0006164648,0.00006951857,0.0001945859,0.0003901537,0.0004468516,0.1304109],"genre_scores_gemma":[0.9792976,0.000312135,0.004984151,0.00006716628,0.000007093872,0.00002512378,0.0002418437,0.00003585838,0.01502888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08368247,"threshold_uncertainty_score":0.1663908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752720755264563,"score_gpt":0.2247934235005882,"score_spread":0.2072662159479426,"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."}}