{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004087427,0.0005657384,0.0002687576,0.000348592,0.00161909,0.003263861,0.000812703,0.0008635466,0.004537462],"category_scores_gemma":[0.007855116,0.0003577745,0.0005330081,0.00017755,0.001182981,0.001580059,0.001975969,0.0009912651,0.001116806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005876443,"about_ca_system_score_gemma":0.001081441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520167,"about_ca_topic_score_gemma":0.00330216,"domain_scores_codex":[0.9966897,0.00247363,0.00008124803,0.0001228859,0.0002876677,0.0003449004],"domain_scores_gemma":[0.9973908,0.001029616,0.0002460895,0.0001900665,0.0004080524,0.0007353845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005665543,0.002613998,0.1220774,0.002583813,0.0001709413,0.001727881,0.5411612,0.002410508,0.03060473,0.003090273,0.02676584,0.2662269],"study_design_scores_gemma":[0.0001180888,0.006368239,0.1460958,0.001112159,0.000280607,0.002271333,0.6828645,0.005756265,0.008767472,0.003484349,0.1425417,0.0003393103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9437087,0.0006041013,0.02689008,0.003746524,0.0001918598,0.0003949902,0.00009749147,0.0004920819,0.0238742],"genre_scores_gemma":[0.9723418,0.0005696546,0.0219481,0.0007089794,0.00003090076,0.000215942,0.00005452626,0.00006825911,0.00406167],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004537462,"threshold_uncertainty_score":0.0216167,"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."}}