{"id":"W3213540346","doi":"10.32920/ryerson.14651661.v1","title":"Modelling challenges of a heat recovery VRF system in a cold climate using a sustainable office case study building","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Government of Canada","keywords":"HVAC; Sizing; Environmental science; Computer science; Engineering; Air conditioning; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007286443,0.0005007827,0.0005921504,0.0003071902,0.0006077886,0.001212695,0.0008690779,0.001123254,0.001571971],"category_scores_gemma":[0.0009457452,0.0004144441,0.0006844662,0.0004216665,0.0003865199,0.0009702487,0.0004736288,0.0006817543,0.0001934663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339109,"about_ca_system_score_gemma":0.0009749148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04138898,"about_ca_topic_score_gemma":0.03695387,"domain_scores_codex":[0.9996101,0.0001534803,0.00001391981,0.00005998137,0.00008634682,0.00007612758],"domain_scores_gemma":[0.9995321,0.0002672877,0.00003609323,0.00004439259,0.00008613193,0.00003398862],"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":[0.00005533003,0.00006482074,0.001793028,0.00003124323,0.00001127669,0.0001070894,0.00005092236,0.992214,0.002092114,0.000687684,0.000191244,0.002701299],"study_design_scores_gemma":[0.00002140797,0.0001136693,0.002631239,0.000006773106,0.00001252211,0.00003589752,0.0001504284,0.9938961,0.001859269,0.0005094294,0.0007443723,0.0000189062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677368,0.00009899945,0.02316548,0.0002739334,0.00001367843,0.00007060236,0.00042263,0.0001445517,0.008073203],"genre_scores_gemma":[0.9928706,0.00006104945,0.005255978,0.00001623426,0.000004611544,0.00003374063,0.0001225857,0.00003455332,0.001600524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04138898,"threshold_uncertainty_score":0.08229613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313582592220621,"score_gpt":0.2400571559726168,"score_spread":0.2086988967505547,"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."}}