{"id":"W2508533427","doi":"10.1016/j.ajic.2016.06.005","title":"Mathematical modeling and simulation of bacterial distribution in an aerobiology chamber using computational fluid dynamics","year":2016,"lang":"en","type":"article","venue":"American Journal of Infection Control","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Airflow; Computational fluid dynamics; Sample (material); Software; Aerobiology; Environmental science; Simulation; Marine engineering; Computer science; Mechanical engineering; Engineering; Aerospace engineering; Physics; Geology","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":[0.0005466001,0.0007409486,0.001084909,0.0007831278,0.00130445,0.001736294,0.001683988,0.002686149,0.001718965],"category_scores_gemma":[0.002517893,0.0007888257,0.001124965,0.0005833583,0.001386324,0.000914825,0.001374257,0.001139311,0.0002402098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429297,"about_ca_system_score_gemma":0.002451775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03553952,"about_ca_topic_score_gemma":0.01028694,"domain_scores_codex":[0.9995905,0.00009831831,0.00002599391,0.00007162544,0.0001210333,0.00009259469],"domain_scores_gemma":[0.998563,0.0009079874,0.0001515221,0.00006397808,0.0001983623,0.0001152608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000144053,0.00002605167,0.0004527063,0.000008455176,0.000005299456,0.00003001633,0.00001379591,0.9972676,0.000349192,0.001187731,0.00006853151,0.0005763919],"study_design_scores_gemma":[0.000003159473,0.000003835638,0.00005501211,7.652512e-7,0.000001108198,0.000003489921,0.000004307144,0.9996754,0.00008703819,0.0001263161,0.00003755033,0.000002116678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5524117,0.0007511763,0.4114115,0.002213473,0.000375251,0.0002682164,0.0007455523,0.0005492762,0.03127388],"genre_scores_gemma":[0.9754776,0.0002270109,0.01875946,0.0001263862,0.00005024949,0.0001766089,0.000157811,0.00005877137,0.00496609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03553952,"threshold_uncertainty_score":0.0706653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002711388264513,"score_gpt":0.2581990444733385,"score_spread":0.2481719305906934,"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."}}