{"id":"W7051859440","doi":"","title":"Project to establish realistic expectations about benefits of daylighting in office buildings","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Doors; Building automation; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"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":[0.01156916,0.0005390859,0.0002624665,0.0003333089,0.001812816,0.001910508,0.0009317478,0.001162532,0.004925263],"category_scores_gemma":[0.01631292,0.0002296507,0.0005284761,0.000295001,0.0008199961,0.001263855,0.001770076,0.001119884,0.0006820431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004349242,"about_ca_system_score_gemma":0.007796108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03434297,"about_ca_topic_score_gemma":0.03087163,"domain_scores_codex":[0.9932467,0.00431723,0.0002229997,0.0003225487,0.001263463,0.0006271243],"domain_scores_gemma":[0.9834945,0.006173661,0.001314478,0.001507271,0.005007781,0.002502326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.06285559,0.06969383,0.2871226,0.00136897,0.0006523132,0.001225385,0.03093416,0.04928969,0.0560683,0.01688379,0.01388607,0.4100193],"study_design_scores_gemma":[0.007185873,0.1571545,0.5709138,0.0003730432,0.000686422,0.0004352377,0.06596357,0.03552734,0.08482628,0.008014807,0.06844414,0.0004749558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879181,0.0000340069,0.002208712,0.0002767526,0.00001642534,0.001027217,0.0003214301,0.00005786247,0.008139593],"genre_scores_gemma":[0.9863019,0.00003704499,0.007516043,0.0001443059,0.000008731414,0.001211356,0.0003616927,0.00002203013,0.004396948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03434297,"threshold_uncertainty_score":0.06828618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922662375618395,"score_gpt":0.2313190860974143,"score_spread":0.2120924623412303,"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."}}