{"id":"W2103471700","doi":"10.3968/j.est.1923847920120302.397","title":"A TRNSYS Simulation Case Study on Utilization of Heat Pump","year":2012,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRNSYS; Heat pump; Storage tank; Air conditioning; Thermal energy storage; Sizing; Environmental science; Hybrid heat; Chiller; Water cooling; Waste heat; Cold storage; Engineering; Waste management; Meteorology; Mechanical engineering; Thermal; Heat exchanger; Thermodynamics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006106159,0.0006665095,0.0005104535,0.0004452294,0.000643161,0.0007363159,0.0008003028,0.0009956459,0.004480736],"category_scores_gemma":[0.00158235,0.0003410431,0.0005857144,0.0005157074,0.0005721415,0.0007217478,0.0004475666,0.0008051057,0.0002753925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008497621,"about_ca_system_score_gemma":0.0008251376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281621,"about_ca_topic_score_gemma":0.01676395,"domain_scores_codex":[0.9996431,0.0001237678,0.00001940605,0.00004523223,0.00009369878,0.00007486536],"domain_scores_gemma":[0.9988857,0.0006605643,0.00006476755,0.00008141586,0.0002334229,0.00007421019],"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":[0.0001893962,0.0001663571,0.00375682,0.00005964462,0.00001986788,0.0002273529,0.0001390646,0.9877715,0.002388658,0.001648322,0.000570606,0.003062428],"study_design_scores_gemma":[0.00005170135,0.0001394465,0.001408205,0.000007814451,0.00001258662,0.00003479941,0.0001378361,0.9934403,0.003397896,0.0003011134,0.001057398,0.00001087608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673455,0.00006627557,0.01671415,0.0001542935,0.00002621974,0.0001006481,0.0008258427,0.0004323755,0.01433475],"genre_scores_gemma":[0.9910075,0.0000507828,0.00676679,0.00001539869,0.000002834331,0.00005869554,0.0003197034,0.00003611278,0.001742141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02281621,"threshold_uncertainty_score":0.04536682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263825877611559,"score_gpt":0.2637078087908791,"score_spread":0.2410695500147635,"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."}}