{"id":"W3033212140","doi":"10.1177/1477153520926528","title":"Long-term visual quality evaluations correlate with climate-based daylighting metrics in tropical offices – A field study","year":2020,"lang":"en","type":"article","venue":"Lighting Research & Technology","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Daylight; Daylighting; Electric light; Illuminance; Architectural engineering; Environmental science; GLARE; Computer science; Simulation; Engineering; Optics","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":[0.001799479,0.0002614764,0.0002368515,0.0004643993,0.0004283095,0.0007648396,0.000324973,0.0002892028,0.001919696],"category_scores_gemma":[0.003094085,0.0001754952,0.000360135,0.0003450754,0.0006224716,0.0005317689,0.000612126,0.0003799642,0.0003715513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003970316,"about_ca_system_score_gemma":0.0002269559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471948,"about_ca_topic_score_gemma":0.006907779,"domain_scores_codex":[0.9990385,0.0003680604,0.00007441574,0.0001724064,0.000211841,0.0001347835],"domain_scores_gemma":[0.9958529,0.001091248,0.001157767,0.0003831514,0.000877361,0.0006376445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003343049,0.0005754486,0.982614,0.00004274873,0.00004208641,0.0001222265,0.004388402,0.0003119867,0.003961401,0.00003666916,0.000110351,0.007460348],"study_design_scores_gemma":[0.000004554313,0.001283866,0.9933001,0.000004903912,0.00001137627,0.0001379123,0.0035926,0.0004300689,0.0009599796,0.00002384265,0.0002357503,0.00001499567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996923,0.00000716176,0.0001010492,0.000002822509,6.009618e-7,0.000006813541,0.00002594294,0.000001156672,0.0001620913],"genre_scores_gemma":[0.9996186,0.000009456866,0.0001429331,0.000004274789,0.000002265422,0.000007543771,0.00005748861,0.000001861706,0.0001554842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003471948,"threshold_uncertainty_score":0.009516656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05790117181445124,"score_gpt":0.3874035950897958,"score_spread":0.3295024232753445,"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."}}