{"id":"W3153273452","doi":"10.15244/pjoes/130951","title":"Response of Outdoor Thermal Environmentto Small Changes in Three-Dimensional UrbanMorphology – a Case Study of Adding Elevatorsto a Residential Quarter in Xuzhou City, China","year":2021,"lang":"en","type":"article","venue":"Polish Journal of Environmental Studies","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Xuzhou; China; Quarter (Canadian coin); Elevator; Urban morphology; Morphology (biology); Environmental science; Environmental protection; Geography; Urban planning; Civil engineering; Engineering; Archaeology; Ecology; Geology; Aerospace engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001905684,0.0003694716,0.0009692201,0.0003043354,0.0001223911,0.00001070473,0.000305046,0.0001304489,0.001219089],"category_scores_gemma":[0.0001321464,0.000334591,0.0001626678,0.0002515299,0.0005558172,0.0002390345,0.0007044057,0.0004526257,0.00001146969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008646877,"about_ca_system_score_gemma":0.00003414215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323338,"about_ca_topic_score_gemma":0.008859251,"domain_scores_codex":[0.9960071,0.0007350824,0.001346048,0.0004278219,0.0008336792,0.0006502683],"domain_scores_gemma":[0.9982139,0.0003146382,0.000937302,0.000336454,0.000006114384,0.0001915905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00125548,0.003110844,0.9149343,0.00002070381,0.000153699,0.005059816,0.01174985,0.0007440832,0.06227934,0.00000132847,0.00007879504,0.0006117738],"study_design_scores_gemma":[0.003577415,0.002033229,0.9720377,0.00009597107,0.00008716391,0.001224804,0.01516886,0.00001567902,0.005375787,0.00004511648,0.00007014372,0.0002681208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972658,0.001482198,0.000003945939,0.0005825317,0.0001824793,0.0003869506,0.00003674833,0.000003583544,0.00005581001],"genre_scores_gemma":[0.9990425,0.0002909117,0.0003559403,0.0001292522,0.00006840345,0.00001448991,0.000002204324,0.00003182816,0.00006453148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05710342,"threshold_uncertainty_score":0.9999106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358837978760247,"score_gpt":0.2858755926248516,"score_spread":0.2499917947488269,"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."}}