{"id":"W2963388636","doi":"10.1007/s40547-019-00097-y","title":"Stereotyping and Marketing: Out-Group Homogeneity Bias and Entry to Competitive Markets","year":2019,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Homogeneity (statistics); Marketing; Business; Psychology; Mathematics; Statistics","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":[0.004893677,0.0001500338,0.0003740532,0.00150658,0.001238664,0.001911827,0.0006313163,0.0007172902,0.01057179],"category_scores_gemma":[0.01871736,0.000124573,0.0003385794,0.001142089,0.001620442,0.001433802,0.001182791,0.000679275,0.0004039493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007130274,"about_ca_system_score_gemma":0.0005964265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006587097,"about_ca_topic_score_gemma":0.009008174,"domain_scores_codex":[0.9974015,0.001480421,0.0001214967,0.000242598,0.0004635802,0.0002903745],"domain_scores_gemma":[0.9707454,0.01709075,0.006392012,0.002719005,0.001370127,0.001682649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006675004,0.0003448023,0.9432874,0.000052088,0.0001285429,0.0001446409,0.007049311,0.0002037568,0.0008987795,0.0124639,0.001195083,0.03356415],"study_design_scores_gemma":[0.0000375832,0.0001568367,0.9676393,0.00004135892,0.00008338564,0.000223288,0.01556371,0.002691466,0.0007162346,0.01114951,0.001675701,0.00002167293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924091,0.0001397547,0.001201756,0.0003317549,0.00001235711,0.00002091583,0.00005513693,0.00000574843,0.005823579],"genre_scores_gemma":[0.99924,0.00002661667,0.000150103,0.00005740538,0.00002231354,0.000005590757,0.00003596365,0.000003712049,0.0004583863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01057179,"threshold_uncertainty_score":0.03536624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03891109536354997,"score_gpt":0.2262440331171459,"score_spread":0.1873329377535959,"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."}}