{"id":"W2794336292","doi":"10.6000/1929-6002.2017.06.03.3","title":"Simulation of Dynamic Thermal Behaviour for Housing in Warm Climate: The Case of Thermal Mass in Lightweight Envelopes","year":2018,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRNSYS; Building envelope; Natural ventilation; Environmental science; HVAC; Thermal mass; Thermal; Thermal comfort; Envelope (radar); Microclimate; Ventilation (architecture); Meteorology; Simulation; Computer science; Architectural engineering; Engineering; Aerospace engineering; Mechanical engineering; Air conditioning; Physics; Geography","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":[0.0003946495,0.00009954741,0.0002242922,0.001330617,0.00004212081,0.000005867706,0.0001972808,0.0002205214,0.000006093024],"category_scores_gemma":[0.00006796608,0.00008211948,0.0000326607,0.001686382,0.00009161272,0.0001566563,0.00002759891,0.0001657292,2.467337e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063649,"about_ca_system_score_gemma":0.00004538355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001857542,"about_ca_topic_score_gemma":0.002062832,"domain_scores_codex":[0.9988956,0.00002086456,0.000766699,0.00007847526,0.00006763697,0.0001707306],"domain_scores_gemma":[0.9992219,0.00008879675,0.0002986233,0.0001619721,0.0002215837,0.000007162162],"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":[0.00002983438,0.00005064723,0.007300141,0.00001456547,0.00001652043,0.0000185276,0.00007660581,0.9627073,0.02098977,0.002580181,0.000004008077,0.006211827],"study_design_scores_gemma":[0.0007368004,0.0001096083,0.00130028,0.0001559824,0.00001411656,0.00003630775,0.0002455397,0.9123133,0.08271952,0.002167708,0.00009093438,0.0001098881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356318,0.0001444285,0.06375827,0.0001249379,0.0001678748,0.00005863929,0.000003408522,0.00002067819,0.00008995349],"genre_scores_gemma":[0.9872841,0.00005267268,0.01258369,0.00001012148,0.00002606207,0.00001345625,0.000003914,0.00001876829,0.000007281886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06172975,"threshold_uncertainty_score":0.3348735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00862310629172205,"score_gpt":0.2474496168783873,"score_spread":0.2388265105866652,"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."}}