{"id":"W2085822319","doi":"10.1016/j.solener.2003.08.013","title":"Workplane illuminance prediction method for daylighting control systems","year":2003,"lang":"en","type":"article","venue":"Solar Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Daylighting; Illuminance; Daylight; Electric light; Radiosity (computer graphics); Sky; Overcast; Environmental science; Glazing; Transmission (telecommunications); Optics; Computer science; Meteorology; Physics; Engineering; Telecommunications; Architectural engineering","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":[0.0003249813,0.0003579002,0.0006245825,0.0002137856,0.0003555476,0.0003559327,0.0005211128,0.0003663431,0.001978744],"category_scores_gemma":[0.000637793,0.0002048709,0.0002304487,0.0001994068,0.0001763378,0.0003419732,0.0002078236,0.0005003139,0.0002531585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000321837,"about_ca_system_score_gemma":0.0005080434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526501,"about_ca_topic_score_gemma":0.01080223,"domain_scores_codex":[0.9998789,0.00002660114,0.000005804549,0.00003162056,0.00003905192,0.00001795863],"domain_scores_gemma":[0.9997401,0.00009944131,0.00002081834,0.00001980974,0.0001085261,0.00001129647],"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":[0.0002200446,0.00007034583,0.0008477225,0.00005466357,0.00003316854,0.00002359582,0.00004373516,0.7798703,0.006331007,0.001383056,0.001115709,0.2100066],"study_design_scores_gemma":[0.000004118493,0.00001223239,0.0001451213,0.000001037465,0.000002263004,0.000002149862,0.000001322443,0.9991072,0.0005252446,0.00008895255,0.0001087105,0.000001630696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03438495,0.0001621546,0.9630095,0.00005207059,0.00003948155,0.00002576066,0.00004131382,0.0004743209,0.00181052],"genre_scores_gemma":[0.920583,0.00009556602,0.07580237,0.00003315593,0.0000339729,0.00007272699,0.0000917502,0.00004808139,0.003239412],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01526501,"threshold_uncertainty_score":0.03035235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005088067556860966,"score_gpt":0.1904340663057751,"score_spread":0.1853459987489141,"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."}}