{"id":"W4232855812","doi":"10.32920/ryerson.14653647","title":"A multi-objective optimization analysis of passive energy conservation measures in a Toronto house","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ASHRAE 90.1; Passive house; Energy (signal processing); Single-family detached home; Suite; Calibration; Computer science; Efficient energy use; Energy conservation; Environmental science; Simulation; Architectural engineering; Engineering; Meteorology; Statistics; Mathematics; Geography; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009011432,0.0002195075,0.0004913119,0.0003442736,0.00001850379,0.00004013292,0.0001281611,0.0003471382,0.0001214484],"category_scores_gemma":[0.00004073129,0.0002435756,0.0001717418,0.0006294001,0.00001677383,0.0001657464,0.00008941334,0.0001377401,4.045428e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000494699,"about_ca_system_score_gemma":0.00007556959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01908742,"about_ca_topic_score_gemma":0.0996986,"domain_scores_codex":[0.9988921,0.00007186871,0.0004276578,0.0002935,0.0001790387,0.0001358287],"domain_scores_gemma":[0.9992374,0.00004444123,0.0001297711,0.000322314,0.0002326638,0.0000333854],"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":[0.000009719333,0.00005957421,0.0007508221,0.00003830259,0.001138971,0.000002185275,0.0005033134,0.9962807,0.0001695744,0.0002617262,0.00002616736,0.0007589678],"study_design_scores_gemma":[0.0002142119,0.000006611145,0.002455158,0.00007280631,0.000393401,2.407393e-7,0.0003590728,0.9943398,0.001911452,0.000009381298,0.000009168421,0.0002287288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02151617,0.0007391369,0.9764337,0.00001257623,0.0002157322,0.0000985859,0.00001301825,0.0002727073,0.0006983728],"genre_scores_gemma":[0.9329602,0.001307137,0.06504105,0.00004229528,0.00001712777,0.0001087034,0.0004232553,0.00004741057,0.00005283587],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.911444,"threshold_uncertainty_score":0.9932726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316778631714536,"score_gpt":0.2263841413600276,"score_spread":0.2132163550428822,"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."}}