{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001216036,0.000167967,0.0001985692,0.00002652963,0.0003602894,0.00004207602,0.0001988815,0.000293891,0.003927362],"category_scores_gemma":[0.00004409259,0.0001441089,0.00005092977,0.0001335896,0.0001914493,0.000251768,0.000128614,0.00102617,0.0001265911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006778779,"about_ca_system_score_gemma":0.0002021333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003136212,"about_ca_topic_score_gemma":0.0002633418,"domain_scores_codex":[0.998108,0.0002306261,0.0003613253,0.0004176406,0.0004737937,0.0004085682],"domain_scores_gemma":[0.9990878,0.00006491692,0.0001782719,0.0004054086,0.000004119153,0.000259449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004847047,0.0004117551,0.8458496,0.00001536569,0.00001079802,0.000005318801,0.0006592564,0.003072198,0.1144405,0.00007185937,0.006807012,0.02860784],"study_design_scores_gemma":[0.002093334,0.0005014781,0.9162787,0.00003714054,0.00002641529,0.00001412733,0.0001570328,0.001743263,0.01092894,0.0003714545,0.06724145,0.0006066696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957618,0.000007740704,0.00002594207,0.001349939,0.0008931058,0.0006201659,0.00003217404,0.00004526839,0.001263915],"genre_scores_gemma":[0.9968446,0.000006324735,0.002003212,0.0003373784,0.0006190959,0.00001632276,0.00002609707,0.00001538747,0.000131619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1035116,"threshold_uncertainty_score":0.9969832,"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."}}