{"id":"W3026777499","doi":"10.1177/1094670520933683","title":"Proactive Handling of Flight Overbooking: How to Reduce Negative eWOM and the Costs of Bumping Customers","year":2020,"lang":"en","type":"article","venue":"Journal of Service Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Ministry of Education, India; Ministry of Education - Singapore","keywords":"Proactivity; Business; Profitability index; Compensation (psychology); Bumping; Computer science; Marketing; Psychology; Finance","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005704141,0.00006646063,0.0002991838,0.0001270327,0.0002728769,0.0001159966,0.0003994554,0.00006047744,0.000006327791],"category_scores_gemma":[0.008480365,0.00004661418,0.00006770794,0.00105176,0.0004852805,0.0002628944,0.0001340653,0.000455963,0.000001229824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120556,"about_ca_system_score_gemma":0.0005559641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009728688,"about_ca_topic_score_gemma":0.0001856257,"domain_scores_codex":[0.9971152,0.0009429351,0.0002732243,0.0001121756,0.001283119,0.0002733383],"domain_scores_gemma":[0.9950194,0.002714384,0.0003000147,0.00006720689,0.001626588,0.0002723962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.005254761,0.0001480913,0.001601617,0.0004328284,0.0004640541,0.00002787783,0.906227,0.00005797589,0.0211899,0.01932883,0.001257522,0.04400952],"study_design_scores_gemma":[0.004087033,0.001024381,0.004655314,0.002463687,0.00009413426,0.000006022126,0.9373794,0.000368297,0.03465378,0.004314557,0.01064048,0.0003129576],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917171,0.0002326326,0.0000105591,0.07801313,0.00009850274,0.0003570215,0.000003598046,0.000004291399,0.02956316],"genre_scores_gemma":[0.9989549,0.0002044369,0.0001352455,0.0002485084,0.0003615919,0.000002986054,9.10988e-8,0.000007815757,0.00008445298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072378,"threshold_uncertainty_score":0.9998716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023168005334651,"score_gpt":0.3991161144070026,"score_spread":0.2967993138735375,"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."}}