{"id":"W4220947696","doi":"10.1016/j.enbuild.2022.112021","title":"Experimental evaluation of the cooling performance of radiant ceiling panels with thermal energy storage","year":2022,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Phase Change Materials Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal mass; Thermal energy storage; Ceiling (cloud); Thermal comfort; Environmental science; Nuclear engineering; Phase-change material; Thermal; Passive cooling; Work (physics); Active cooling; Materials science; Mechanical engineering; Automotive engineering; Water cooling; Engineering; Meteorology; Structural engineering; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003388106,0.00007224255,0.0001029644,0.00005550421,0.0001043059,0.000007751964,0.0001182289,0.00001811157,0.0001302308],"category_scores_gemma":[0.000005417884,0.00005435019,0.00001800991,0.0001274247,0.00004728437,0.00006920748,0.00008358595,0.00004808966,3.498087e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005981278,"about_ca_system_score_gemma":0.00002582607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001204868,"about_ca_topic_score_gemma":0.000003270989,"domain_scores_codex":[0.9992585,0.00006475423,0.0001138405,0.00008719498,0.0003511455,0.0001246188],"domain_scores_gemma":[0.9997738,0.00002430683,0.00004060281,0.0001083205,0.00003063235,0.00002232809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004855662,0.00001384455,0.00008280721,0.00001822492,0.00001706391,6.142017e-7,0.0005775688,0.2482043,0.7489746,0.0002026766,0.000007265008,0.001852429],"study_design_scores_gemma":[0.0003257455,0.00006958344,0.0003575832,0.00002219514,0.000008871443,0.000007424448,0.0001928623,0.1665381,0.8320459,0.000005074716,0.0003673504,0.00005935659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984459,0.001045713,0.0001100049,0.000006867097,0.0001142762,0.00004094691,0.000007983875,0.00001498332,0.0002133561],"genre_scores_gemma":[0.9998064,0.00002439851,0.00003808245,0.000010371,0.00004114696,0.00004428481,0.000003757337,0.00001541951,0.00001615376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08307125,"threshold_uncertainty_score":0.2216336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471337103098371,"score_gpt":0.2444638219835522,"score_spread":0.2197504509525685,"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."}}