{"id":"W2215881161","doi":"10.1139/l2012-037","title":"Computational tools for selecting energy conservation measures for retrofitting existing office buildings","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Works and Government Services Canada; McMaster University","funders":"","keywords":"Retrofitting; Occupancy; Building envelope; Chiller; Energy conservation; Engineering; Efficient energy use; Architectural engineering; Civil engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006770106,0.0009500155,0.000915458,0.001360667,0.000601003,0.001210131,0.001437657,0.0007072028,0.006544595],"category_scores_gemma":[0.003740634,0.0004844425,0.0007796554,0.0009860754,0.000421875,0.0007102682,0.001013656,0.000686699,0.0006597184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006717158,"about_ca_system_score_gemma":0.001128093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006202573,"about_ca_topic_score_gemma":0.008148129,"domain_scores_codex":[0.9997364,0.00007760082,0.00001886329,0.00002816915,0.0001024546,0.00003651549],"domain_scores_gemma":[0.9985869,0.001014563,0.00009715384,0.00007985836,0.0001728752,0.00004877321],"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":[0.00003769786,0.00006801702,0.001020288,0.00006423357,0.00001383471,0.00007666396,0.00006143724,0.9606843,0.001124595,0.0113567,0.001148225,0.02434389],"study_design_scores_gemma":[0.00000885475,0.000005972888,0.00007331475,0.000005498343,0.000002755107,0.000004980128,0.00001930053,0.9964485,0.000439348,0.002276134,0.0007118076,0.00000357548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05506265,0.0001193422,0.9246309,0.0001786622,0.00004103399,0.0001974104,0.0005729411,0.001664777,0.01753239],"genre_scores_gemma":[0.3812692,0.0002540936,0.6133413,0.00006413579,0.00003274174,0.0006048111,0.0007586739,0.0004487073,0.003226316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006544595,"threshold_uncertainty_score":0.02189386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017817849725125,"score_gpt":0.1946150989866873,"score_spread":0.1767972492615623,"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."}}