{"id":"W7039722502","doi":"","title":"A net-positive energy building assessment: commissioning and COVID-19 insights","year":2022,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Energy consumption; Occupancy; Work (physics); Consumption (sociology); Project commissioning; Efficient energy use; Energy (signal processing); Baseline (sea); Building design; Post-occupancy evaluation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002747558,0.0004341727,0.0003183059,0.001582237,0.0005048888,0.00191918,0.0006415145,0.0004678997,0.001875904],"category_scores_gemma":[0.004936591,0.000257455,0.0003413001,0.002256227,0.0007223919,0.00145157,0.001150635,0.0007425245,0.0002932806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008746542,"about_ca_system_score_gemma":0.002701153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.166467,"about_ca_topic_score_gemma":0.3791763,"domain_scores_codex":[0.9975032,0.0005306226,0.00008235811,0.0001444159,0.001464745,0.0002746478],"domain_scores_gemma":[0.995906,0.001332967,0.0003649688,0.0002610387,0.001941914,0.0001931411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004865373,0.0004242258,0.5880871,0.001019162,0.0001265892,0.001646179,0.01129666,0.1092363,0.007972388,0.04595299,0.01456047,0.2191914],"study_design_scores_gemma":[0.00001702081,0.0005925656,0.7544319,0.0005617869,0.0001003672,0.0005737507,0.02992314,0.1014984,0.009223292,0.009537212,0.09340627,0.0001344179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062317,0.001530195,0.01322399,0.0022241,0.00004671687,0.0001321956,0.002897389,0.0001098577,0.07360388],"genre_scores_gemma":[0.9924118,0.000470793,0.003583661,0.00005585489,0.00001099198,0.00001511259,0.0009893773,0.00003516417,0.002427109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.166467,"threshold_uncertainty_score":0.3309961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00923514064156887,"score_gpt":0.2329340939456626,"score_spread":0.2236989533040937,"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."}}