{"id":"W4381189928","doi":"10.32920/23541834","title":"Upgrading Existing Housing in Yellowknife to Achieve Energy Efficient Standards","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Zero-energy building; Renewable energy; Building envelope; Environmental science; Civil engineering; Meteorology; Engineering; Geography; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004909119,0.0002790159,0.0002196114,0.0006457095,0.002035082,0.001052258,0.0007124551,0.0002181482,0.003134141],"category_scores_gemma":[0.0006322628,0.0002364131,0.0003580946,0.001259415,0.000824881,0.0005110659,0.00110547,0.0003475916,0.0003854686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01274642,"about_ca_system_score_gemma":0.01041285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8781701,"about_ca_topic_score_gemma":0.9754223,"domain_scores_codex":[0.9994153,0.00003484124,0.00001098842,0.00007549206,0.0002342929,0.0002291324],"domain_scores_gemma":[0.9996108,0.00001638069,0.00002606899,0.00005211872,0.0002299625,0.00006458157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009111225,0.0005090147,0.5580984,0.0004556564,0.0001153636,0.003068374,0.015681,0.08297377,0.05875167,0.03060878,0.01545994,0.233367],"study_design_scores_gemma":[0.00003347505,0.0003373841,0.8189163,0.00009781924,0.00005092093,0.0003440789,0.01840334,0.02004104,0.01886047,0.001977897,0.1208702,0.00006712415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686676,0.0001023901,0.006366692,0.0000948619,0.00001524625,0.0001152573,0.0007959181,0.00008466838,0.02375731],"genre_scores_gemma":[0.9597545,0.0001804041,0.01564892,0.00003710391,0.000002243939,0.00005480262,0.001212623,0.00006577581,0.0230436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218299,"threshold_uncertainty_score":0.2450948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165204154459817,"score_gpt":0.3073082570954402,"score_spread":0.275656215550842,"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."}}