{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004212453,0.0007244362,0.000424689,0.0004952786,0.001419161,0.0009340566,0.0009655769,0.0005374106,0.001481342],"category_scores_gemma":[0.0008155715,0.0003336879,0.000551366,0.0009004162,0.0006765772,0.0004252627,0.0004484105,0.0003653244,0.0001487185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01390465,"about_ca_system_score_gemma":0.007844754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9354796,"about_ca_topic_score_gemma":0.9262586,"domain_scores_codex":[0.9997484,0.0000492302,0.000008294067,0.00003065451,0.00006462473,0.00009878774],"domain_scores_gemma":[0.9996542,0.00008498277,0.00001951093,0.00002402551,0.0001747681,0.00004251135],"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":[0.00008150745,0.00006486323,0.006006394,0.00002454686,0.00001458779,0.00006034288,0.00008605332,0.9880074,0.0007635151,0.0005054801,0.0001501714,0.004235051],"study_design_scores_gemma":[0.00002955664,0.00008992522,0.0085732,0.00000590513,0.00002012351,0.00001333506,0.0003279465,0.9887184,0.001467167,0.0001330173,0.0006015242,0.00001987043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894883,0.00005234963,0.00297396,0.00005655035,0.000003678779,0.00005818931,0.0004379128,0.000135348,0.006793697],"genre_scores_gemma":[0.9968001,0.00006377614,0.001772419,0.000006704677,5.104374e-7,0.00001609848,0.0002913552,0.000009592491,0.001039451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06452036,"threshold_uncertainty_score":0.1298006,"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."}}