{"id":"W4205481239","doi":"10.32920/16819237.v1","title":"A Review Of Canadian Typical Year Weather Files For Residential Energy Simulation","year":2021,"lang":"en","type":"review","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Range (aeronautics); Building energy simulation; Meteorology; Variance (accounting); Unit (ring theory); Data file; Database; Geography; Climate change; Energy (signal processing); Climatology; Energy performance; Computer science; Engineering; Statistics; Business; Mathematics","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":[0.003207879,0.001211121,0.0006859014,0.007566681,0.001924471,0.002857793,0.003843081,0.0005173822,0.01391558],"category_scores_gemma":[0.01325286,0.0008338701,0.001640479,0.02158966,0.0004853503,0.002066371,0.0008705026,0.0008557066,0.003373666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01860046,"about_ca_system_score_gemma":0.02784429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.954225,"about_ca_topic_score_gemma":0.951525,"domain_scores_codex":[0.9968293,0.0003163201,0.0002745515,0.0002694084,0.002073028,0.0002374142],"domain_scores_gemma":[0.9856506,0.001607528,0.0004112515,0.001206858,0.01076424,0.000359468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00022551,0.00006616391,0.02697331,0.003143717,0.0002563543,0.0001413036,0.0004289346,0.07449869,0.0007295067,0.01599263,0.5978257,0.279718],"study_design_scores_gemma":[0.00004333289,0.00001566485,0.02893833,0.002000408,0.0001192482,0.00007805881,0.0004029422,0.03944312,0.001626129,0.001694431,0.9254328,0.000205544],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.02852851,0.0380208,0.07797167,0.003686563,0.0015643,0.0009334742,0.6884932,0.01895796,0.1418436],"genre_scores_gemma":[0.1423818,0.06423687,0.08532924,0.0008885436,0.0002584123,0.0008522569,0.6834113,0.005305667,0.01733598],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.045775,"threshold_uncertainty_score":0.1349564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215222320367336,"score_gpt":0.2821089396899337,"score_spread":0.2499567164862604,"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."}}