{"id":"W7132373856","doi":"","title":"Building indoor overheating and impact of local extreme heat conditions","year":2020,"lang":"en","type":"article","venue":"NPARC","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overheating (electricity); Weather Research and Forecasting Model; Extreme weather; Urban heat island; Mesoscale meteorology; Extreme heat; Energy consumption; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001980648,0.0005655993,0.0002490506,0.0002491748,0.000390631,0.000843645,0.0004324497,0.0003440923,0.001525107],"category_scores_gemma":[0.0003386455,0.0001787324,0.0005223241,0.0003589446,0.0003666346,0.0004104222,0.0003850308,0.0003130438,0.0001713356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964703,"about_ca_system_score_gemma":0.001310749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2821656,"about_ca_topic_score_gemma":0.3278268,"domain_scores_codex":[0.9998614,0.00002261867,0.000003368917,0.00002497553,0.00003983387,0.00004788176],"domain_scores_gemma":[0.9998952,0.0000261254,0.00001498496,0.00001893341,0.00003048591,0.00001418756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008765174,0.00009617723,0.06792696,0.00004401098,0.00005904199,0.0002739589,0.0001032219,0.9108624,0.009400239,0.0007764285,0.0005454444,0.009824627],"study_design_scores_gemma":[0.0000254611,0.0002024425,0.2153916,0.00001806189,0.00008940111,0.00009328732,0.0003385833,0.7673885,0.01410437,0.0004899681,0.001803861,0.00005439694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913215,0.00007663721,0.002673607,0.00003783949,0.000007079564,0.00002071217,0.0004645509,0.0001024377,0.005295641],"genre_scores_gemma":[0.9986539,0.00005326214,0.000451047,0.00000426331,0.000001303756,0.000005584984,0.0002391281,0.000007996016,0.0005835371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2821656,"threshold_uncertainty_score":0.5610464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248274022166849,"score_gpt":0.2539394371576948,"score_spread":0.2314566969360263,"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."}}