{"id":"W1763577525","doi":"10.3390/buildings5041171","title":"Improving Occupant Wellness in Commercial Office Buildings through Energy Conservation Retrofits","year":2015,"lang":"en","type":"article","venue":"Buildings","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architectural engineering; Energy conservation; Engineering; Environmental science; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001862975,0.0005724214,0.0003403958,0.001021364,0.0007668143,0.001841977,0.001037098,0.0004996355,0.002336358],"category_scores_gemma":[0.001811114,0.0002655843,0.0004869263,0.0008246165,0.001013585,0.001144988,0.001232303,0.0003234032,0.0001795783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039796,"about_ca_system_score_gemma":0.00116915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01183206,"about_ca_topic_score_gemma":0.04067958,"domain_scores_codex":[0.9990247,0.0004184039,0.00004052033,0.00009463537,0.0002655644,0.0001561222],"domain_scores_gemma":[0.9993987,0.0001974167,0.0001306025,0.00008175871,0.000121427,0.00007009753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001260243,0.003420986,0.2197665,0.0007460067,0.0002276229,0.001372614,0.00370385,0.2721378,0.02916326,0.02295965,0.001496482,0.443745],"study_design_scores_gemma":[0.0001743948,0.005430031,0.4170053,0.0004183825,0.0003867001,0.001183862,0.02753164,0.4541121,0.04279313,0.02995739,0.02076701,0.0002399956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762799,0.0002850275,0.0126275,0.0001421176,0.00000674124,0.0001246817,0.00008014315,0.00007785511,0.01037606],"genre_scores_gemma":[0.9942012,0.0001100337,0.005074861,0.000007456045,0.000001684282,0.0000193773,0.00003020289,0.00001078608,0.0005443908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01183206,"threshold_uncertainty_score":0.02352637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305947825403437,"score_gpt":0.2473519255397313,"score_spread":0.2242924472856969,"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."}}