{"id":"W7000326353","doi":"","title":"Energy savings due to occupancy sensors and personal controls: a pilot field study","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Hydro","keywords":"Occupancy; Workstation; Energy (signal processing); Power (physics); Personal computer; Energy density; Field (mathematics); Smart lighting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.002101939,0.000621434,0.0005494134,0.0004947041,0.0008449998,0.0004875011,0.000595021,0.0005961765,0.00299668],"category_scores_gemma":[0.002949155,0.0005165403,0.000525402,0.0003259357,0.000919662,0.000766848,0.0005345764,0.000700637,0.0003797933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522399,"about_ca_system_score_gemma":0.0004742063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956615,"about_ca_topic_score_gemma":0.004479728,"domain_scores_codex":[0.9988554,0.0005635445,0.0000539282,0.000179849,0.0001770509,0.000170217],"domain_scores_gemma":[0.9960564,0.002278258,0.0003842434,0.0003109429,0.0005545128,0.000415576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05444285,0.2589367,0.4299239,0.001043752,0.0003007585,0.002408216,0.02405372,0.005218038,0.1193733,0.0009116501,0.001528885,0.1018583],"study_design_scores_gemma":[0.001513109,0.4022117,0.5517632,0.00004343428,0.0002668319,0.0006951627,0.01561794,0.005239665,0.01989476,0.0004226871,0.002213267,0.0001183167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996966,0.000005134336,0.0000884129,0.0000049444,0.00000161629,0.00004465371,0.00002017278,0.000001378698,0.0001370904],"genre_scores_gemma":[0.9983912,0.00002230456,0.0006136512,0.00001954452,0.000008188012,0.0001217362,0.00005643271,0.000002043143,0.0007647961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00299668,"threshold_uncertainty_score":0.01111627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008038781953773501,"score_gpt":0.208309872146693,"score_spread":0.2002710901929195,"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."}}