{"id":"W3159915317","doi":"10.3386/w23046","title":"Exit, Tweets and Loyalty","year":2017,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Loyalty; Advertising; Computer science; World Wide Web; Business; History; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003505482,0.0001877177,0.0006489371,0.001503077,0.0002748457,0.0002480981,0.000676407,0.0004812113,0.001367348],"category_scores_gemma":[0.0005573714,0.0002292573,0.0001937298,0.0001054822,0.0003404251,0.0001991118,0.0007230119,0.0009094037,0.000480565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002988379,"about_ca_system_score_gemma":0.0002372675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160447,"about_ca_topic_score_gemma":0.00009561166,"domain_scores_codex":[0.9978518,0.00004967937,0.0008922465,0.0007397467,0.0001638448,0.0003026893],"domain_scores_gemma":[0.9978117,0.0002549057,0.0008970467,0.0006145276,0.000295046,0.0001267692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001350915,0.00005381282,0.05403526,0.0000657219,0.0002335946,0.000001348308,0.00005554077,0.0007411921,0.000001411392,0.9274585,0.01682584,0.0005143252],"study_design_scores_gemma":[0.0003287939,0.00002603363,0.02814833,0.00003815448,0.000006314037,0.000001646416,0.00001509367,0.003932945,0.00002711707,0.9548426,0.01242836,0.0002046611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05869905,0.003176449,0.00006475073,0.004636819,0.0005476067,0.0003075166,0.0008508608,0.00001751681,0.9316995],"genre_scores_gemma":[0.9906395,0.001091976,0.0001755227,0.0000220724,0.0004931033,0.00005935337,0.0002857286,0.00002296633,0.007209792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9319404,"threshold_uncertainty_score":0.9995455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5350326381457466,"score_gpt":0.5080492751977758,"score_spread":0.02698336294797088,"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."}}