{"id":"W4383199382","doi":"10.1016/j.buildenv.2023.110569","title":"Towards inclusive underground public transportation: Gender differences on thermal comfort","year":2023,"lang":"en","type":"article","venue":"Building and Environment","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Thermal comfort; Urbanization; Autoencoder; Sustainable development; Public transport; Computer science; Transport engineering; Environmental economics; Environmental science; Civil engineering; Engineering; Geography; Meteorology; Artificial intelligence; Ecology; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009182282,0.0002385817,0.0002277988,0.0004182539,0.001225066,0.002686761,0.0004165152,0.0006929176,0.01446951],"category_scores_gemma":[0.002950501,0.0001654607,0.0003718924,0.0007208126,0.0007813102,0.002165719,0.001917141,0.0008478275,0.001133928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009715724,"about_ca_system_score_gemma":0.001090681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01550924,"about_ca_topic_score_gemma":0.03365685,"domain_scores_codex":[0.9993291,0.0001860134,0.00002446337,0.00007930026,0.0001355239,0.0002456759],"domain_scores_gemma":[0.9975495,0.0005801366,0.0004927268,0.0001491022,0.0005055264,0.000723069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001290272,0.0009726188,0.8161319,0.0001733238,0.0002346362,0.0008795154,0.07111426,0.001042416,0.00990629,0.0185665,0.002646721,0.07704148],"study_design_scores_gemma":[0.000009682944,0.0001541462,0.9251298,0.00008561544,0.00006305726,0.0001833326,0.06594643,0.000415788,0.0008526633,0.00249487,0.004646136,0.00001844442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921048,0.0001987814,0.0003064361,0.0005670698,0.00002179495,0.0000043415,0.00004730221,0.000003353444,0.006746151],"genre_scores_gemma":[0.9984275,0.00007628847,0.00007255163,0.00005048177,0.000007181296,0.000003307319,0.00001983837,0.000005711424,0.001337201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01550924,"threshold_uncertainty_score":0.04840529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779719583673143,"score_gpt":0.2436664959084197,"score_spread":0.2158693000716883,"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."}}