{"id":"W4220815566","doi":"10.21203/rs.3.rs-1505332/v1","title":"Impact of COVID-19 Pandemic on Singapore’s Aviation Industry","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Aviation; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Aeronautics; Engineering; Virology; Aerospace engineering; Medicine; Outbreak","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":[0.0006968221,0.0002963954,0.0002217415,0.0009562064,0.0004227734,0.001986157,0.000387314,0.001356037,0.007944372],"category_scores_gemma":[0.002747382,0.0001321047,0.000441291,0.001053326,0.000342754,0.001129572,0.00119647,0.001214219,0.001103966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002262749,"about_ca_system_score_gemma":0.002504854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06393699,"about_ca_topic_score_gemma":0.06144789,"domain_scores_codex":[0.9993661,0.00008129328,0.00003720203,0.00005873132,0.0001870785,0.0002696539],"domain_scores_gemma":[0.9979962,0.0002179936,0.0005339609,0.00006943892,0.0007778982,0.0004045497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001143302,0.0003930247,0.750423,0.00044264,0.0003452503,0.004004317,0.001024246,0.0186137,0.002808828,0.02457082,0.1308445,0.06538642],"study_design_scores_gemma":[0.00003784341,0.0004374185,0.9096312,0.0001515811,0.0001148774,0.0004228957,0.004936691,0.02219046,0.001189437,0.002531348,0.05828948,0.00006676387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379888,0.001262815,0.000390686,0.01284912,0.0004959683,0.00004055555,0.01138155,0.0000868033,0.03550369],"genre_scores_gemma":[0.9891589,0.0005633195,0.00008451191,0.0007170214,0.0001101836,0.00001060878,0.002798872,0.00001241991,0.006544119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06393699,"threshold_uncertainty_score":0.1271297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2966117332790704,"score_gpt":0.457894358338102,"score_spread":0.1612826250590316,"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."}}