{"id":"W61572406","doi":"","title":"Specifications for modelling fuel cell and combustion-based residential cogeneration device within whole-building simulation programs","year":2007,"lang":"en","type":"article","venue":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Cogeneration; Stirling engine; Combustion; TRNSYS; Automotive engineering; Internal combustion engine; Engineering; Heat exchanger; Mechanical engineering; Electricity generation; Thermal; Process engineering; Power (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001252574,0.001337432,0.0009662515,0.0007913852,0.0006444947,0.001666324,0.003234386,0.001347835,0.02320553],"category_scores_gemma":[0.002834653,0.001135964,0.001508016,0.001019648,0.0003022648,0.001322889,0.0009672509,0.001850955,0.00742511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009687232,"about_ca_system_score_gemma":0.001584982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008317454,"about_ca_topic_score_gemma":0.01173156,"domain_scores_codex":[0.9990478,0.0002376154,0.0001108013,0.00006291691,0.0004401878,0.0001007063],"domain_scores_gemma":[0.9986765,0.0003956944,0.00008592838,0.0002329746,0.0005503668,0.00005845205],"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":[0.0001261794,0.0001119321,0.001939215,0.0004324432,0.00006793201,0.0001558438,0.0002788389,0.9180954,0.008654446,0.02778911,0.01967989,0.02266878],"study_design_scores_gemma":[0.00008689663,0.00004750195,0.000585799,0.00008704692,0.00004587479,0.00008724206,0.00008561652,0.8863978,0.009284138,0.00539625,0.09785144,0.00004436096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02666855,0.0002902117,0.8714094,0.0003707501,0.000173328,0.0008385333,0.02949385,0.02100179,0.04975364],"genre_scores_gemma":[0.3041662,0.001870981,0.5469366,0.0003970964,0.00007694299,0.006318728,0.0828273,0.01300428,0.04440186],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02320553,"threshold_uncertainty_score":0.07763022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837873125392606,"score_gpt":0.1975658581724265,"score_spread":0.1691871269185005,"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."}}