{"id":"W2907471899","doi":"10.2495/dne-v13-n4-384-394","title":"Effects of vertical green technology on building surface temperature","year":2018,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dello Sviluppo Economico","keywords":"Architectural engineering; Engineering; Environmental science; Engineering physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020561,0.00008935911,0.0001575956,0.0001902662,0.00004339618,0.00003152543,0.0002152213,0.0002211089,0.00001576716],"category_scores_gemma":[0.000147368,0.00006155799,0.00004652422,0.000123582,0.00008944081,0.00009495775,0.000009031291,0.0004406108,0.000003797785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007045364,"about_ca_system_score_gemma":0.00003805141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002964614,"about_ca_topic_score_gemma":0.00004514391,"domain_scores_codex":[0.9992791,0.00004409484,0.0002038464,0.00009882776,0.0002611821,0.0001129944],"domain_scores_gemma":[0.9992557,0.000273452,0.0001042943,0.00005570089,0.0002528223,0.00005803613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008394313,0.0005469032,0.2176277,0.0002171841,0.002393109,0.002651299,0.001513583,0.02450142,0.179022,0.00792593,0.004203745,0.5510029],"study_design_scores_gemma":[0.006472549,0.00974081,0.4311028,0.002125388,0.0003567917,0.004532295,0.0002753008,0.3247173,0.1719213,0.04054287,0.007067109,0.001145411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961083,0.0006427253,0.001053056,0.0009123919,0.001018263,0.00004008287,0.000005663096,0.000007321283,0.0002121801],"genre_scores_gemma":[0.994219,0.0002079721,0.004997238,0.0002312842,0.0003093703,8.163509e-9,0.00000250947,0.000003041812,0.00002958512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5498574,"threshold_uncertainty_score":0.2510262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005478455810055019,"score_gpt":0.2282371526092566,"score_spread":0.2227586967992016,"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."}}