{"id":"W2166433195","doi":"10.2486/indhealth.ms1097","title":"Thermal Environment Assessment Reliability Using Temperature —Humidity Indices","year":2010,"lang":"en","type":"article","venue":"Industrial Health","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermal comfort; Reliability (semiconductor); Environmental science; Heat stress; Humidity; Index (typography); Thermal sensation; Mean radiant temperature; Heat index; Equivalent temperature; Air humidity; Operative temperature; Air temperature; Computer science; Meteorology; Atmospheric sciences; Climate change; Geography","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":[0.005306205,0.000674852,0.0005983257,0.001983958,0.0002749276,0.0008395851,0.000562293,0.000480139,0.000831146],"category_scores_gemma":[0.01311783,0.0002387096,0.000672656,0.001149677,0.0005071626,0.001007487,0.001169856,0.0004115576,0.0006045414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002698803,"about_ca_system_score_gemma":0.0003027897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628697,"about_ca_topic_score_gemma":0.001652955,"domain_scores_codex":[0.9939728,0.002293569,0.0004689232,0.0006187236,0.002436488,0.0002094374],"domain_scores_gemma":[0.9907936,0.004621881,0.000991622,0.001084527,0.002376807,0.0001315071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001293822,0.0001663157,0.535087,0.0005126692,0.0007868852,0.0001828946,0.001398248,0.06439367,0.02918464,0.003349565,0.002128033,0.3615162],"study_design_scores_gemma":[0.00005115552,0.001605038,0.6021958,0.000146517,0.0005117975,0.0007794711,0.001579687,0.3091539,0.06734931,0.007397946,0.00892912,0.0003001812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6640042,0.00164798,0.3192524,0.0001223664,0.0001434633,0.0002018828,0.0006818011,0.0006799641,0.01326596],"genre_scores_gemma":[0.9812942,0.0002030519,0.01762225,0.00001003034,0.00002945954,0.00004215665,0.0002718058,0.00003628832,0.0004907626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005306205,"threshold_uncertainty_score":0.02806222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935970838162367,"score_gpt":0.2961804367939143,"score_spread":0.2568207284122906,"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."}}