{"id":"W4414825776","doi":"10.1016/j.buildenv.2025.113817","title":"A framework for realistic estimation of indoor environments airborne infection risk: evaluating ASHRAE standard 241","year":2025,"lang":"en","type":"article","venue":"Building and Environment","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"ASHRAE 90.1; Probabilistic logic; Transmission (telecommunications); Population; Risk assessment; Estimation; Computational fluid dynamics; HVAC","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004528449,0.001031256,0.001172081,0.001203472,0.0006706192,0.002500693,0.002354431,0.002272391,0.002023924],"category_scores_gemma":[0.0104039,0.0007283065,0.00103773,0.0006095753,0.0008251199,0.001725706,0.001587271,0.001037179,0.000281969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985899,"about_ca_system_score_gemma":0.002609722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0348754,"about_ca_topic_score_gemma":0.01723812,"domain_scores_codex":[0.9973375,0.001276533,0.00009232249,0.0002985745,0.0006801934,0.0003147608],"domain_scores_gemma":[0.9967134,0.00196362,0.0002923168,0.0001878898,0.000724703,0.0001181993],"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":[0.00002884339,0.00002532406,0.0006950031,0.000013905,0.00001701588,0.00003151741,0.00002213749,0.9862499,0.0004203905,0.006278926,0.0001936217,0.006023387],"study_design_scores_gemma":[0.000003051831,0.0000159056,0.0001158603,0.000003097205,0.000003900197,0.000007757414,0.000009645883,0.9983262,0.0001151542,0.001296177,0.00009968048,0.000003551738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04541768,0.0002612906,0.949487,0.0002926416,0.00003844554,0.00009322824,0.0001378311,0.0003028946,0.003968919],"genre_scores_gemma":[0.8099273,0.0002036145,0.1872928,0.00007416505,0.00003873781,0.0001124962,0.000294179,0.0000823399,0.001974386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0348754,"threshold_uncertainty_score":0.06934482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985586062475453,"score_gpt":0.3298365176337587,"score_spread":0.3099806570090041,"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."}}