{"id":"W4323048157","doi":"10.1007/s10479-023-05225-5","title":"RETRACTED ARTICLE: Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory","year":2023,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":10,"is_retracted":true,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Viewpoints; Ranking (information retrieval); Frontier; Data envelopment analysis; Pairwise comparison; Computer science; Theory of computation; Efficient frontier; Operations research; Pessimism; Econometrics; Microeconomics; Management science; Economics; Artificial intelligence; Mathematics; Mathematical optimization; Algorithm; Political science; Financial economics; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":{"nature":"Retraction","reason":"Author Unresponsive;Concerns/Issues about Referencing/Attributions;Concerns/Issues about Peer Review;Compromised Peer Review;Investigation by Journal/Publisher;Objections by Author(s);Rogue Editor;Unreliable Results and/or Conclusions;","date":"6/1/2024 0:00","openalex_flagged":true},"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005574538,0.001195571,0.001245647,0.002327315,0.001513985,0.003108524,0.002803011,0.008250814,0.01681441],"category_scores_gemma":[0.04969133,0.000421711,0.001068374,0.001453752,0.0017521,0.002371239,0.001411659,0.00630048,0.008154852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956365,"about_ca_system_score_gemma":0.002261784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005360221,"about_ca_topic_score_gemma":0.007024104,"domain_scores_codex":[0.995788,0.0009897791,0.0004581275,0.0004293023,0.002115224,0.0002195465],"domain_scores_gemma":[0.9685351,0.01348866,0.0009139046,0.00134082,0.0145093,0.001212257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001182418,0.00008177962,0.0007190813,0.0002289226,0.00004478402,0.0007575914,0.00008417515,0.0005488013,0.000525542,0.003167066,0.9590085,0.03471565],"study_design_scores_gemma":[0.0001389497,0.0002688297,0.007818331,0.0004393242,0.0001497965,0.001658137,0.0004119674,0.007299227,0.002649587,0.01254004,0.9664941,0.0001316553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.004857266,0.003615691,0.01876845,0.2374396,0.7240683,0.0001375935,0.00167658,0.0008249722,0.008611616],"genre_scores_gemma":[0.1067927,0.008680099,0.03510621,0.1602883,0.4342002,0.0003979642,0.002786132,0.001112087,0.2506363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01681441,"threshold_uncertainty_score":0.0562498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5773306934951713,"score_gpt":0.6540406258013872,"score_spread":0.07670993230621592,"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."}}