{"id":"W2135634960","doi":"","title":"Optimization od daylight in buildings to save energy and to improve visual comfort: analysis in different latitudes","year":2009,"lang":"en","type":"article","venue":"Research Padua  Archive (University of Padua)","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Daylight; GLARE; Daylighting; Shading; Architectural engineering; Radiance; Artificial light; Electric light; Light intensity; Sunlight; Luminance; Computer science; Software; Environmental science; Engineering; Illuminance; Computer graphics (images); Artificial intelligence; Geography; Remote sensing; Electrical engineering; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002712217,0.0001388437,0.0002963871,0.001813532,0.0000968014,0.00002697246,0.000221012,0.00007156497,0.00002410651],"category_scores_gemma":[0.00003132422,0.0001618938,0.00005758781,0.001586864,0.0000517486,0.0001699401,0.0001507899,0.0001829679,5.958796e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370922,"about_ca_system_score_gemma":0.0000195469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005774981,"about_ca_topic_score_gemma":0.00365078,"domain_scores_codex":[0.9987475,0.0001056956,0.0001545686,0.0003059434,0.0003193882,0.0003668822],"domain_scores_gemma":[0.9994318,0.0001215986,0.00002499492,0.0001789635,0.0000576104,0.0001849628],"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":[0.0000846176,0.00008322259,0.004032408,0.00001887364,0.00006319019,0.00001437793,0.001065506,0.9764641,0.008267647,0.001998641,0.0001348482,0.007772553],"study_design_scores_gemma":[0.0004532489,0.0002323837,0.02886311,0.00006765263,0.00002187991,4.29496e-7,0.0003126133,0.9681948,0.0007871197,0.0005839657,0.0002991195,0.0001836245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3879084,0.00002444684,0.6107818,0.0004369956,0.00001642012,0.0001668971,0.00001409528,0.00003872817,0.0006121971],"genre_scores_gemma":[0.9695078,0.000200959,0.03009667,0.00002725508,0.00001552715,0.000002096516,0.00004517529,0.0000110536,0.00009348437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5815994,"threshold_uncertainty_score":0.6601835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043908454785985,"score_gpt":0.2462595154508525,"score_spread":0.2358204309029927,"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."}}