{"id":"W4206443193","doi":"10.22215/etd/2021-14759","title":"Improving Air Travel Comfort & Experience: Designing for Infection Prevention and Control.","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Pandemic; Context (archaeology); Control (management); Coronavirus disease 2019 (COVID-19); Air travel; Transport engineering; Business; Engineering; Geography; Advertising; Aviation; Medicine; Computer science; Disease; Infectious disease (medical specialty)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002365123,0.0002945087,0.0003934959,0.000230716,0.0004054439,0.0003047975,0.00006930716,0.0001793277,0.0001055549],"category_scores_gemma":[0.0001585606,0.0002989277,0.0001576593,0.000177661,0.00002543677,0.0006664966,0.0000394053,0.000145147,0.000007397794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003609151,"about_ca_system_score_gemma":0.00003825664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553386,"about_ca_topic_score_gemma":0.01158992,"domain_scores_codex":[0.9987379,0.000008822458,0.0003657461,0.0004491079,0.0001916977,0.000246717],"domain_scores_gemma":[0.9991018,0.00004857383,0.0003679035,0.0001484338,0.000323372,0.000009968816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003079104,0.0002067358,0.3868077,0.004046467,0.0003327878,0.000005182112,0.001141959,0.000003177398,0.04056974,0.001977487,0.0004736592,0.5641271],"study_design_scores_gemma":[0.004711237,0.00005806813,0.9534978,0.0009739711,0.003066702,0.000006807633,0.0131303,0.001591123,0.001749526,0.000547707,0.01863789,0.002028923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475527,0.0006473194,0.04527571,0.00003309795,0.001287344,0.00147457,0.000003535893,0.0001718007,0.003553967],"genre_scores_gemma":[0.9797071,0.00004490836,0.001162853,0.0000803967,0.0002397288,0.0009777066,0.001096484,0.00007014687,0.01662063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.56669,"threshold_uncertainty_score":0.9999463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060638822004249,"score_gpt":0.2958585193209861,"score_spread":0.2652521311009436,"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."}}