{"id":"W3122913080","doi":"10.1257/mic.20180085","title":"Exit, Tweets, and Loyalty","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Loyalty; Business; Quality (philosophy); Marketing; Advertising","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":[0.0009431796,0.0001052769,0.0002331285,0.001047904,0.0006596231,0.001873619,0.0002429916,0.000712987,0.009418887],"category_scores_gemma":[0.01455024,0.000127369,0.0002007971,0.001474175,0.000737671,0.001678783,0.0009062903,0.001053479,0.0007366475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007832451,"about_ca_system_score_gemma":0.0004305097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009069592,"about_ca_topic_score_gemma":0.01059217,"domain_scores_codex":[0.9994031,0.0001613565,0.00005344227,0.00008349106,0.0001249826,0.0001735579],"domain_scores_gemma":[0.9813462,0.008344352,0.007388448,0.0004341872,0.000800466,0.001686385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001847717,0.0001893958,0.9632805,0.00004724728,0.00006728796,0.000106168,0.001051295,0.0009550806,0.0001364557,0.007685681,0.005849934,0.02044631],"study_design_scores_gemma":[0.00001483898,0.00008983842,0.9837039,0.00004159837,0.00003418322,0.00009313955,0.002797309,0.002323204,0.0001435863,0.006135108,0.00459823,0.00002512535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857033,0.0004199392,0.0004240081,0.002251689,0.0000227942,0.00001173706,0.001208011,0.00001295274,0.009945669],"genre_scores_gemma":[0.9971603,0.0001356269,0.00008350995,0.0001338061,0.00003596537,0.000006380768,0.0006135909,0.000003558331,0.001827233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009418887,"threshold_uncertainty_score":0.03150928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624880691196383,"score_gpt":0.2204726281179918,"score_spread":0.2042238212060279,"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."}}