{"id":"W2186033760","doi":"","title":"PERFORMANCE ASSESSMENT OF RESIDENTIAL COGENERATION SYSTEMS IN CANADA USING A WHOLE-BUILDING SIMULATION APPROACH","year":2014,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cogeneration; Stirling engine; Electricity; Calibration; Greenhouse gas; Environmental science; Discrete event simulation; Baseline (sea); Mains electricity; Engineering; Process engineering; Computer science; Electricity generation; Simulation; Mechanical engineering; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809274,0.00006433932,0.0001291784,0.00006945832,0.0001306142,0.0000818331,0.00004971354,0.00001554252,0.00005964744],"category_scores_gemma":[0.000008233977,0.0000581835,0.00001468903,0.00003359024,0.00002118266,0.0001962526,0.00001646708,0.00004855086,3.610626e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003140097,"about_ca_system_score_gemma":0.0003150594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8016145,"about_ca_topic_score_gemma":0.9206236,"domain_scores_codex":[0.9992375,0.00007488271,0.0002691528,0.0001063668,0.0002074425,0.0001046985],"domain_scores_gemma":[0.9996704,0.00002664405,0.000101052,0.00007956523,0.0001023045,0.00002003451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004197329,0.00002229931,0.0268616,0.000107665,0.00001165952,2.607266e-7,0.0004693981,0.9139778,0.003353402,0.05479935,0.00007883944,0.0003135048],"study_design_scores_gemma":[0.0001671975,0.0000159524,0.007129104,0.00002690144,0.00000682135,1.871205e-7,0.0003878631,0.9901922,0.0002024542,0.0000220164,0.001777203,0.00007214313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850014,0.000007554243,0.004203065,0.000007566929,0.0002958562,0.0001339898,0.000004367639,0.000005098964,0.01034109],"genre_scores_gemma":[0.9993049,9.184225e-7,0.0001749229,0.00001321087,0.0001756882,0.000004361294,0.000009039662,0.000005772619,0.0003112226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190091,"threshold_uncertainty_score":0.2372654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04783663830017371,"score_gpt":0.2712642856496987,"score_spread":0.223427647349525,"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."}}