{"id":"W4386432760","doi":"10.1007/978-981-19-9822-5_172","title":"Energy Consumption Patterns in a Canadian Multi-family Building Under COVID-19 Lockdowns—A Preview of the Future?","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Consumption (sociology); Coronavirus disease 2019 (COVID-19); Evening; Energy consumption; Electricity; Work (physics); Pandemic; Unit (ring theory); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Energy (signal processing); Demographic economics; Business; Agricultural economics; Geography; Economics; Engineering; Sociology; Psychology; Statistics; Medicine; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000202612,0.0001947179,0.0001662354,0.0002403411,0.00008874626,0.00002133997,0.0002177736,0.0001314901,0.00003408462],"category_scores_gemma":[0.000005196792,0.000177695,0.00003931826,0.00009979239,0.00009825629,0.0001098003,0.00007819585,0.0001697303,0.000001603769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006813779,"about_ca_system_score_gemma":0.00006896951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826032,"about_ca_topic_score_gemma":0.008124953,"domain_scores_codex":[0.999061,0.000003753419,0.0001984962,0.0002254081,0.0002322301,0.000279054],"domain_scores_gemma":[0.9995673,0.00001632979,0.00003546321,0.0001828272,0.000002620978,0.0001954584],"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":[4.450712e-7,0.000002436411,0.0006502469,0.0001241572,0.00001104275,0.000003532578,0.0000486599,0.989212,0.001562,0.005124088,0.00001600978,0.003245428],"study_design_scores_gemma":[0.0007033108,0.00003243202,0.04595324,0.001579459,0.00008433108,0.00004513135,0.00009052137,0.8452544,0.000911615,0.0004378351,0.1033335,0.00157422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7224305,0.08654651,0.1448456,0.001252962,0.0162235,0.003948998,0.00110938,0.002148249,0.02149428],"genre_scores_gemma":[0.9857537,0.01178546,0.000329704,0.0001507735,0.00006179528,0.00002014054,0.00001634762,0.0000604574,0.001821635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2633232,"threshold_uncertainty_score":0.7246193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361877505474739,"score_gpt":0.1966897445602579,"score_spread":0.1830709695055105,"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."}}