{"id":"W3191828217","doi":"10.1177/1420326x211034563","title":"Some evidence of a time-varying thermal perception","year":2021,"lang":"en","type":"article","venue":"Indoor and Built Environment","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Agence Nationale de la Recherche","keywords":"Thermal comfort; Thermostat; Evening; ASHRAE 90.1; Context (archaeology); Morning; Environmental science; Perception; Flexibility (engineering); Thermal; Observational study; Architectural engineering; Computer science; Meteorology; Simulation; Psychology; Statistics; Engineering; Mathematics; Geography; Medicine; Mechanical engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000420687,0.00006219833,0.00007526633,0.00001729506,0.00002586072,0.000008042948,0.000034114,0.00004154108,0.0002103671],"category_scores_gemma":[0.000002881563,0.00006152928,0.00002217296,0.00002579405,0.0000204892,0.0001197795,0.00002993477,0.00004832003,0.000006790333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002211793,"about_ca_system_score_gemma":0.000003742091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004581263,"about_ca_topic_score_gemma":2.050407e-7,"domain_scores_codex":[0.9996451,0.00001129214,0.00009515039,0.00008963492,0.00008117298,0.00007769682],"domain_scores_gemma":[0.9998391,0.00001651778,0.00001378207,0.0001045095,0.000002773733,0.000023336],"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":[0.000005691442,0.00001713594,0.001025644,0.00003207528,0.00001562018,0.000003195263,0.0001194458,0.6318144,0.3566113,0.0000454569,0.00002766261,0.01028237],"study_design_scores_gemma":[0.000781706,0.0001237016,0.04366394,0.0003759314,0.00008565194,0.00003912394,0.00008574418,0.6572191,0.2952203,0.0004108412,0.00145588,0.0005381634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920033,0.002382217,0.005261654,0.00004656494,0.00004882972,0.00003172256,0.000001189074,0.0000333182,0.0001912416],"genre_scores_gemma":[0.9962292,0.001988204,0.001539809,0.00003029744,0.00004936002,0.000006432067,0.000004906164,0.000009680499,0.0001421431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06139098,"threshold_uncertainty_score":0.2509091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156658956333756,"score_gpt":0.2004908865056975,"score_spread":0.1889242969423599,"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."}}