{"id":"W4235133210","doi":"10.32920/ryerson.14660742","title":"Investigating The Impact Of Thermal Mass Towards Energy Efficient Housing In Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermal mass; Energy consumption; Glazing; Environmental science; Efficient energy use; Thermal; Energy conservation; Thermal insulation; Thermal energy; Energy (signal processing); Consumption (sociology); Civil engineering; Environmental economics; Architectural engineering; Engineering; Materials science; Meteorology; Geography; Economics; Physics; Thermodynamics; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002482168,0.0003604548,0.0002500988,0.0004269498,0.0009026677,0.0009618831,0.0005329253,0.0002540811,0.001992936],"category_scores_gemma":[0.0005178326,0.0001493494,0.000328876,0.001078006,0.0004239532,0.000201303,0.0003431641,0.0002237131,0.000110594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02213842,"about_ca_system_score_gemma":0.01157224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866851,"about_ca_topic_score_gemma":0.9928434,"domain_scores_codex":[0.9997062,0.00002778917,0.000005635256,0.00003472955,0.0001025644,0.0001230043],"domain_scores_gemma":[0.9997424,0.00004248439,0.00001492725,0.000009714635,0.000153546,0.00003692255],"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":[0.0009494743,0.0005940375,0.2138363,0.000445584,0.0001783784,0.0009997294,0.001002358,0.6748409,0.0270598,0.008399307,0.007754344,0.06393979],"study_design_scores_gemma":[0.00009351279,0.0004758592,0.4572164,0.00005537027,0.0001593342,0.0001049608,0.004897482,0.5044922,0.01765246,0.000959212,0.0137971,0.00009604861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913873,0.0001697275,0.0006993687,0.00009192279,0.000004419697,0.0000249578,0.000570699,0.00001764788,0.007033954],"genre_scores_gemma":[0.995605,0.0001505512,0.0009822712,0.00001565657,6.365584e-7,0.000005913771,0.0003882611,0.000009226328,0.002842472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02213842,"threshold_uncertainty_score":0.1606262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005475681659309,"score_gpt":0.202405969141296,"score_spread":0.1923512123247029,"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."}}