{"id":"W4414795023","doi":"10.5334/bc.537","title":"HVAC characterisation of existing Canadian buildings for decarbonisation retrofit identification","year":2025,"lang":"en","type":"article","venue":"Buildings and Cities","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Canada First Research Excellence Fund; Concordia University","keywords":"HVAC; ASHRAE 90.1; Archetype; Identification (biology); Electricity; Building information modeling; Air conditioning; Baseline (sea); Efficient energy use","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0001772579,0.0005718265,0.0002431886,0.001750464,0.0009598091,0.00100145,0.0005716234,0.0002103344,0.002334809],"category_scores_gemma":[0.000487229,0.0001957103,0.0005188855,0.002557063,0.0003277392,0.0003354253,0.0004205636,0.0003380357,0.0002792237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008222928,"about_ca_system_score_gemma":0.004720862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9109266,"about_ca_topic_score_gemma":0.9563168,"domain_scores_codex":[0.9997314,0.00001383287,0.000008157059,0.00003357679,0.0001582448,0.00005484169],"domain_scores_gemma":[0.9996413,0.00003017487,0.00002681836,0.00004490824,0.0002265059,0.00003024125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004091603,0.0001245469,0.3355055,0.0004160157,0.0001483791,0.0004884326,0.003342189,0.4598706,0.02343012,0.007887787,0.006234133,0.1621431],"study_design_scores_gemma":[0.0000106611,0.00006227808,0.742925,0.00004754392,0.00005843754,0.0001171226,0.002672497,0.2240006,0.01058053,0.0006556961,0.01877274,0.00009705085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656144,0.00008749835,0.007978768,0.00003375009,0.000005399644,0.0001063363,0.008912669,0.0002115796,0.01704961],"genre_scores_gemma":[0.983093,0.0001124926,0.007617843,0.00000641427,0.000001054301,0.00002745537,0.006264617,0.00004169256,0.002835404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08907342,"threshold_uncertainty_score":0.1791959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480640572343937,"score_gpt":0.22962164722095,"score_spread":0.2148152414975107,"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."}}