{"id":"W1672381717","doi":"10.1007/s00484-015-1054-2","title":"Thermal comfort in Quebec City, Canada: sensitivity analysis of the UTCI and other popular thermal comfort indices in a mid-latitude continental city","year":2015,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval","funders":"","keywords":"Environmental science; Wind speed; Thermal comfort; Meteorology; Climatology; Equivalent temperature; Mean radiant temperature; Latitude; Apparent temperature; Climate change; Humidity; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009617281,0.0009394948,0.0007568066,0.0007827239,0.001335669,0.001821239,0.001628351,0.0008937032,0.001738413],"category_scores_gemma":[0.001893128,0.0003766612,0.001346448,0.00223267,0.0008096197,0.0004064024,0.000588401,0.000858458,0.0001649662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03087875,"about_ca_system_score_gemma":0.009797958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937715,"about_ca_topic_score_gemma":0.9917673,"domain_scores_codex":[0.9992564,0.0001724332,0.00001964392,0.0001063904,0.0001343238,0.0003106688],"domain_scores_gemma":[0.9986017,0.0004986555,0.00007125395,0.00006206326,0.0006097152,0.0001565648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009405002,0.0003760682,0.1602604,0.0001621225,0.0006771126,0.000626751,0.0002314001,0.8157734,0.003777458,0.001213094,0.007793645,0.008168009],"study_design_scores_gemma":[0.0001315316,0.0001989666,0.4682046,0.0000479127,0.0002858943,0.00008035874,0.00165139,0.5243496,0.001592736,0.0002857095,0.003010855,0.0001606097],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896651,0.0003668627,0.0007750952,0.0003557487,0.00002168646,0.00006116565,0.005128493,0.00005596258,0.003569928],"genre_scores_gemma":[0.9965587,0.0001209419,0.0002906975,0.00008718688,0.000004313757,0.00002160395,0.00174677,0.00001166263,0.001158007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03087875,"threshold_uncertainty_score":0.2240421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678513239833,"score_gpt":0.2489958749015195,"score_spread":0.2322107425031895,"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."}}