{"id":"W2964934425","doi":"10.11159/htff19.195","title":"Air Ventilation and Thermal Comfort in a Tramcar","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Thermal comfort; Ventilation (architecture); Computer science; Architectural engineering; Automotive engineering; Environmental science; Engineering; Mechanical engineering; Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001422167,0.0001568917,0.0002332581,0.000100807,0.00001867696,0.00004784259,0.0001773289,0.00008039024,0.00001648984],"category_scores_gemma":[0.00001567936,0.0001315796,0.00003674027,0.000156188,0.00003389627,0.00009809829,0.0001208085,0.0002031364,8.717137e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003676885,"about_ca_system_score_gemma":0.000003927842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000405259,"about_ca_topic_score_gemma":0.000002578172,"domain_scores_codex":[0.9992067,0.000001795362,0.0002269557,0.0001824218,0.0001546803,0.0002274186],"domain_scores_gemma":[0.9997714,0.00002569971,0.00003193957,0.00008533919,0.00002625302,0.00005935221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004715612,0.00001292539,0.000151884,0.0002988125,0.00001447437,3.076821e-7,0.000007176594,0.002015379,0.9902071,0.007004958,0.00001163379,0.0002281566],"study_design_scores_gemma":[0.0004133259,0.00002478968,0.0008665443,0.0002408269,0.000008542791,0.000002849141,0.00001393842,0.2928494,0.705079,0.0001323808,0.0001988935,0.0001695506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989277,0.00001085391,0.000001115976,0.00004440765,0.000385068,0.0002334422,0.000009389703,0.00006113643,0.0003269559],"genre_scores_gemma":[0.9994837,0.000049256,0.0002617421,0.00001031494,0.00004146705,0.00001871121,0.000002288706,0.00003405892,0.00009846001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.290834,"threshold_uncertainty_score":0.5365661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003280132538808119,"score_gpt":0.1846326159365745,"score_spread":0.1813524833977664,"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."}}