{"id":"W2003716960","doi":"10.1016/j.enbuild.2009.08.010","title":"Energy simulation of vertical greenery systems","year":2009,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":270,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Building and Construction Authority - Singapore; National University of Singapore","keywords":"Facade; Building envelope; Environmental science; Shading; Thermal comfort; Energy consumption; Solar gain; Cooling load; Thermal; Meteorology; Air conditioning; Civil engineering; Geography; Engineering; Computer science; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000233719,0.0004806891,0.0007546437,0.0005350711,0.0008075805,0.001098042,0.0009216347,0.001477375,0.01045757],"category_scores_gemma":[0.001190095,0.000477177,0.0007819802,0.0007644522,0.0006780114,0.0007157025,0.0008600578,0.0007006677,0.0004065051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230289,"about_ca_system_score_gemma":0.001109846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06185536,"about_ca_topic_score_gemma":0.02935316,"domain_scores_codex":[0.9998547,0.00003361656,0.000005607046,0.00002196353,0.00002381544,0.00006025034],"domain_scores_gemma":[0.9993989,0.0003523887,0.00004297947,0.00004210964,0.00009886092,0.00006468437],"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":[0.00002238183,0.00001761227,0.0004665946,0.000006168782,0.000004508412,0.00001684409,0.0000115441,0.9974597,0.0001733532,0.001095937,0.0001097435,0.0006155857],"study_design_scores_gemma":[0.00001324092,0.00001425854,0.0001954658,0.000001935191,0.000002608932,0.000002889924,0.00002574634,0.9987912,0.0001484596,0.0005792666,0.000221657,0.000003302723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143648,0.0001798671,0.03278514,0.0005431533,0.000103035,0.00005964792,0.001394505,0.0002821442,0.05028788],"genre_scores_gemma":[0.993804,0.00004484332,0.002177962,0.00003133656,0.000005857604,0.00002611754,0.0002191216,0.00003309012,0.003657604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06185536,"threshold_uncertainty_score":0.1229906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006765800813375671,"score_gpt":0.2008689095487875,"score_spread":0.1941031087354118,"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."}}