{"id":"W2611788627","doi":"10.3390/buildings7020047","title":"Integrated Lighting Efficiency Analysis in Large Industrial Buildings to Enhance Indoor Environmental Quality","year":2017,"lang":"en","type":"article","venue":"Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; University of Toronto; Slovenská Akadémia Vied","keywords":"Skylight; Daylight; Architectural engineering; Daylighting; Quality (philosophy); Component (thermodynamics); Environmental science; Environmental quality; Productivity; Artificial light; Efficient energy use; Indoor air quality; Engineering; Civil engineering; Environmental engineering; Mechanical engineering; Illuminance","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006574187,0.0002505856,0.0003800904,0.0004062377,0.0003164133,0.0001968468,0.0005791082,0.0002210903,0.000102475],"category_scores_gemma":[0.0001960216,0.0002637778,0.0001245857,0.0005990291,0.00003930711,0.0003490172,0.0001668339,0.0003624004,0.00001130109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207207,"about_ca_system_score_gemma":0.00001624054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003127946,"about_ca_topic_score_gemma":0.0001627256,"domain_scores_codex":[0.9983418,0.00003431869,0.0004674515,0.0004172497,0.0002543068,0.0004848856],"domain_scores_gemma":[0.9991359,0.00004476905,0.0001460066,0.0005315612,0.00001542004,0.0001263173],"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":[0.00009080551,0.0002332023,0.3149806,0.00002759228,0.00032724,0.00001744588,0.001224706,0.601547,0.05247146,0.001955752,0.0005445457,0.02657964],"study_design_scores_gemma":[0.003981727,0.0002271908,0.1746253,0.0004912922,0.0005173557,0.00000833979,0.0007056219,0.4526292,0.3165074,0.0002962211,0.04643792,0.003572335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449765,0.00004981705,0.05358789,0.00009326215,0.0002918513,0.0001581907,0.00002377133,0.0001857768,0.0006329622],"genre_scores_gemma":[0.9955976,0.00002273725,0.003959609,0.00006948238,0.0001045872,0.00003299177,0.0000292052,0.00003388588,0.0001498917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2640359,"threshold_uncertainty_score":0.9999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384035138434892,"score_gpt":0.2627676878297765,"score_spread":0.2489273364454276,"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."}}