{"id":"W4283719281","doi":"10.1108/cms-06-2021-0262","title":"Stock market reaction to affiliated sports teams’ performance: evidence from China","year":2022,"lang":"en","type":"article","venue":"Chinese Management Studies","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Affect (linguistics); Marketing; Business; Originality; League; Value (mathematics); China; Spillover effect; Stock (firearms); Stakeholder; Economics; Microeconomics; Psychology; Management; Social psychology; Political science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001038613,0.0003704231,0.0004153733,0.0004581977,0.001168301,0.0001327001,0.0005280171,0.00002807289,0.001318847],"category_scores_gemma":[0.00009541919,0.0003274597,0.000111643,0.001591401,0.00003666543,0.001109116,0.002297671,0.0002521283,0.0002846717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193655,"about_ca_system_score_gemma":0.000007765354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008472497,"about_ca_topic_score_gemma":0.0002135669,"domain_scores_codex":[0.9975809,0.00003969434,0.0004457101,0.0006591515,0.0008640788,0.0004105015],"domain_scores_gemma":[0.9989669,0.00006272321,0.0002598235,0.0005843717,0.0001018368,0.00002433961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001185172,0.0005753226,0.6952605,0.002331228,0.0009140435,0.0001349103,0.003972774,0.003054367,0.0001350349,0.0004238822,0.2500958,0.04191701],"study_design_scores_gemma":[0.0004716698,0.00002974367,0.9214675,0.0001558447,0.0001891955,9.056246e-7,0.004458891,0.002276351,0.000002183925,0.0005803008,0.06991816,0.0004491971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697209,0.0006230077,0.00002304503,0.003669095,0.001666738,0.000800657,0.000008526574,0.0003690139,0.02311903],"genre_scores_gemma":[0.9894124,0.0002889939,0.00009955881,0.002733499,0.0007287081,0.0003959347,0.00006420977,0.00003864179,0.006238049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.226207,"threshold_uncertainty_score":0.9999177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743072827101456,"score_gpt":0.2801112729069367,"score_spread":0.2526805446359222,"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."}}