{"id":"W4404913849","doi":"10.3390/buildings14123861","title":"Physiological Indicators of Thermal Comfort: A Comprehensive Approach Using the Metabolic-Based Predicted Mean Vote Index","year":2024,"lang":"en","type":"article","venue":"Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Infrastructure Canada","keywords":"Index (typography); Thermal comfort; Statistics; Environmental science; Econometrics; Computer science; Mathematics; Meteorology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004433985,0.000574936,0.0004506198,0.0004102834,0.0001448295,0.00076232,0.0005180911,0.00034431,0.0007428232],"category_scores_gemma":[0.0009160413,0.0001914903,0.0007414108,0.000362112,0.0002073008,0.0005747344,0.0004069432,0.000373868,0.0001239448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002585901,"about_ca_system_score_gemma":0.0002815172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446288,"about_ca_topic_score_gemma":0.001359915,"domain_scores_codex":[0.9998474,0.00005242971,0.000007574292,0.00003920457,0.00003982184,0.00001346509],"domain_scores_gemma":[0.9998397,0.00007374492,0.00002338486,0.00002053486,0.00003238382,0.00001022014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001200602,0.0001223579,0.01789799,0.0001033936,0.0001005834,0.00006913242,0.0001015105,0.9240643,0.01838915,0.003347012,0.0002309983,0.03545354],"study_design_scores_gemma":[0.00000274227,0.00009322057,0.006083323,0.000005194127,0.00001909932,0.0000206416,0.00002125682,0.9912931,0.001476084,0.0007477104,0.0002242293,0.0000133082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3487855,0.0003229778,0.646283,0.0000943606,0.00004577346,0.00008691563,0.0002848286,0.0002931107,0.003803376],"genre_scores_gemma":[0.9823816,0.00008140795,0.01683174,0.000008439387,0.000008910547,0.00006227988,0.0001184933,0.00001763629,0.0004894228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001446288,"threshold_uncertainty_score":0.002875805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628897407037986,"score_gpt":0.2259432646784492,"score_spread":0.2096542906080693,"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."}}