{"id":"W4406488755","doi":"10.1051/e3sconf/202560503013","title":"Enhancing cognitive performance through thermal comfort: Insights from classroom renovation at Diponegoro University","year":2025,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Cognition; Thermal comfort; Architectural engineering; Engineering; Neuroscience; Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0005975093,0.0003441917,0.0003122033,0.0002552275,0.001251644,0.001510249,0.000408333,0.0002823599,0.001433739],"category_scores_gemma":[0.0006873089,0.00009899033,0.0002624755,0.0001868713,0.0006504702,0.0004780475,0.001098769,0.000648347,0.0002483127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009284313,"about_ca_system_score_gemma":0.000940881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003191873,"about_ca_topic_score_gemma":0.009839909,"domain_scores_codex":[0.9995415,0.0001697963,0.000009498056,0.00006972488,0.00006665471,0.0001428298],"domain_scores_gemma":[0.9996456,0.00007602827,0.00004081709,0.00002016982,0.000056796,0.00016053],"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":[0.001348546,0.01542712,0.2869849,0.001304303,0.0002289557,0.004447465,0.2383806,0.004280958,0.1018239,0.006376736,0.006008457,0.3333881],"study_design_scores_gemma":[0.00003953131,0.003596969,0.772024,0.0002717993,0.0001563184,0.0007622738,0.1511959,0.002629963,0.02568855,0.002647643,0.04084079,0.0001461812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965324,0.0001796559,0.0003056915,0.0001454659,0.0000085377,0.000008377142,0.00001599314,0.000008308011,0.002795547],"genre_scores_gemma":[0.9981536,0.0001739425,0.0003760416,0.0000296762,0.000003553895,0.000005603019,0.00001687677,0.000006396676,0.001234298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003191873,"threshold_uncertainty_score":0.006736279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00894223402666823,"score_gpt":0.1921723428333366,"score_spread":0.1832301088066683,"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."}}