{"id":"W4312997779","doi":"10.1177/1071181322661551","title":"Improving Air Travel Comfort & Experience: Designing for Infection Prevention and Control in Response to COVID-19","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Aviation; Air travel; Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Control (management); 2019-20 coronavirus outbreak; Business; Infection control; Infectious disease (medical specialty); Medicine; Environmental health; Disease; Engineering; Computer science; Intensive care medicine; Virology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399399,0.0001167086,0.0002233976,0.00007816432,0.0008183463,0.00002695831,0.00004720302,0.00005861331,0.000004013791],"category_scores_gemma":[0.0003869832,0.0001026884,0.0001351385,0.000122894,0.00005149757,0.0001665291,0.00008732897,0.0001691788,3.129309e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002558453,"about_ca_system_score_gemma":0.00005786047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002550999,"about_ca_topic_score_gemma":0.00002138647,"domain_scores_codex":[0.9991601,0.00002192992,0.000310055,0.0002275185,0.0001077157,0.0001726887],"domain_scores_gemma":[0.9994087,0.0001264838,0.0002531087,0.00004093245,0.00008573574,0.00008507583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002233439,0.00008920725,0.6387165,0.0002977231,0.00004462069,3.805032e-8,0.04847075,0.0006058566,0.3088779,0.000168211,0.0001616249,0.0003341821],"study_design_scores_gemma":[0.00657681,0.001215694,0.923502,0.0001599085,0.000148224,0.00002161452,0.05031617,0.008779822,0.006317063,0.0004864216,0.002103834,0.0003724257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935359,0.00002176563,0.005213384,0.0002085492,0.00008798094,0.0008782452,0.00001716626,0.00002269256,0.00001435249],"genre_scores_gemma":[0.9986928,0.000003998706,0.0006062126,0.0003651505,0.00004467471,0.0001414885,0.000004626343,0.0000141014,0.0001269863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3025608,"threshold_uncertainty_score":0.6294141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684600037845844,"score_gpt":0.2971562387367513,"score_spread":0.2703102383582928,"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."}}