{"id":"W2955840284","doi":"10.26593/risa.v3i03.3335.258-276","title":"OPTIMIZATION BUILDING ENCLOSURE REDESIGN TO FULFILL NATURAL LIGHTING INTENSITY STANDARD AND OTTV IN SOUTH QUARTER JAKARTA OFFICE BUILDING BASED ON GREENSHIP CRITERIA","year":2019,"lang":"en","type":"article","venue":"Riset Arsitektur (RISA)","topic":"Architectural and Urban Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Building envelope; Envelope (radar); Shading; Natural ventilation; Window (computing); Enclosure; Intensity (physics); Quarter (Canadian coin); Engineering; Computer science; Engineering drawing; Mechanical engineering; Meteorology; Geography; Telecommunications; Computer graphics (images)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004575858,0.0004361946,0.0003377042,0.0005458564,0.0004903862,0.0008540151,0.0003153488,0.0002574874,0.002254725],"category_scores_gemma":[0.0005173548,0.0001382724,0.0004009402,0.0004208375,0.0002332811,0.0003717411,0.0004014244,0.0002384432,0.0001879201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008739022,"about_ca_system_score_gemma":0.0006842444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005993048,"about_ca_topic_score_gemma":0.016951,"domain_scores_codex":[0.9996182,0.0001153791,0.00001834294,0.00003809549,0.0001428135,0.00006726418],"domain_scores_gemma":[0.9997676,0.00007798161,0.00003490285,0.00002121421,0.00006890153,0.00002936985],"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":[0.00106763,0.001542759,0.05171093,0.001405947,0.0001052183,0.0008278858,0.001117915,0.5648958,0.1873648,0.004767597,0.002007187,0.1831864],"study_design_scores_gemma":[0.0001188814,0.004841555,0.1741152,0.0001981123,0.0005098229,0.0004341796,0.005652699,0.6086299,0.1852633,0.002766477,0.01731647,0.0001533458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823925,0.0003246701,0.01011113,0.00004061987,0.00001624882,0.0000786867,0.00007458502,0.00005969089,0.006901915],"genre_scores_gemma":[0.9881951,0.0001695578,0.009794365,0.000008259351,0.000001716165,0.0000350177,0.00009225054,0.00001728549,0.001686452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005993048,"threshold_uncertainty_score":0.01191634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889949651842829,"score_gpt":0.2330752555656603,"score_spread":0.214175759047232,"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."}}