{"id":"W4256023664","doi":"10.32920/ryerson.14654901","title":"An Intelligent Aircraft Window System for Visual Comfort Control","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Illuminance; Computer science; Window (computing); Daylight; Transparency (behavior); Control system; Simulation; Computer vision; Artificial intelligence; Real-time computing; Engineering; Electrical 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":[0.0002275438,0.0004713929,0.0004693569,0.0003102852,0.0002862563,0.0006507778,0.0009242297,0.0004280242,0.00516284],"category_scores_gemma":[0.0003457816,0.0001847784,0.0003330888,0.0001505246,0.000125621,0.0005016556,0.000469409,0.0003699711,0.001162151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307886,"about_ca_system_score_gemma":0.0002487319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080337,"about_ca_topic_score_gemma":0.0007692124,"domain_scores_codex":[0.9997693,0.00002150831,0.00001288873,0.00007110638,0.00009631387,0.00002895051],"domain_scores_gemma":[0.999827,0.00003029485,0.00001806021,0.00002694223,0.00007549723,0.00002225653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008218338,0.0002340298,0.002949452,0.000331156,0.00006680283,0.0003812786,0.0004171026,0.01403219,0.7049941,0.003312985,0.006962478,0.2654966],"study_design_scores_gemma":[0.0002150971,0.001789994,0.01850671,0.0001063918,0.0002379103,0.001027344,0.0001645874,0.4883482,0.4132917,0.001866272,0.07426593,0.0001797851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1382128,0.0007963624,0.8347968,0.0001540235,0.0003452971,0.0003824798,0.000384554,0.01289756,0.0120302],"genre_scores_gemma":[0.8105472,0.0004196572,0.1734216,0.0001981878,0.0001140434,0.0003032795,0.0006473036,0.0002775106,0.01407129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00516284,"threshold_uncertainty_score":0.0172714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756726232530623,"score_gpt":0.2932934307599367,"score_spread":0.2757261684346304,"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."}}