{"id":"W2515013069","doi":"10.1016/j.buildenv.2016.08.027","title":"Development and implementation of an adaptive lighting and blinds control algorithm","year":2016,"lang":"en","type":"article","venue":"Building and Environment","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":192,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ceiling (cloud); Illuminance; Daylighting; Computer science; Control (management); Engineering; Simulation; Real-time computing; Architectural engineering; Artificial intelligence; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009860698,0.00007905631,0.00008300289,0.00003603239,0.00005306774,0.0000083645,0.00001893855,0.00003258256,0.000006665734],"category_scores_gemma":[7.974048e-7,0.00006240239,0.000005663697,0.00001464269,0.000024836,0.00009707211,0.00001867596,0.00002159194,9.663269e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002286162,"about_ca_system_score_gemma":0.000002627732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008470353,"about_ca_topic_score_gemma":0.000002291019,"domain_scores_codex":[0.9995935,0.000007943667,0.0001241104,0.0001175268,0.00006131663,0.00009563127],"domain_scores_gemma":[0.9998596,0.00001720382,0.00002682118,0.00004767197,0.000002408216,0.00004625726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006649855,0.000008690919,0.00101326,0.00001165775,0.00003669621,6.866097e-7,0.0003602046,0.01314412,0.01355907,0.0006092745,0.000003187305,0.9712465],"study_design_scores_gemma":[0.006617293,0.0005590076,0.07350769,0.0002706224,0.0001372598,0.00004529165,0.001460635,0.5865897,0.3190856,0.0008873566,0.009766511,0.001073063],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7608783,0.000225092,0.2387731,0.00001873154,0.00001792737,0.00004574112,0.000003179721,0.00002309358,0.00001487891],"genre_scores_gemma":[0.9190367,0.000345325,0.08056215,0.000007987474,0.00001612777,0.00001202154,0.000001742906,0.000009601218,0.000008307342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9701734,"threshold_uncertainty_score":0.2544695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005670966470065605,"score_gpt":0.1917312068032586,"score_spread":0.186060240333193,"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."}}