{"id":"W2148475543","doi":"10.15057/25384","title":"SELLER-BUYER ETHNIC MATCHES: THE CASE OF CAR TRANSACTIONS AT TWO NORTH AMERICAN AUTO DEALERSHIPS","year":2012,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Demographics; Database transaction; Business; Marketing; Transaction data; Demography; Database; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002778189,0.0002274479,0.0002334809,0.00007806816,0.0008073456,0.00006268585,0.0002581259,0.00003438184,0.0000705311],"category_scores_gemma":[0.00007738837,0.0001800532,0.0001195157,0.0009331642,0.0005390084,0.002027897,0.00009654017,0.0002276593,0.0001395212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529544,"about_ca_system_score_gemma":0.0001280519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01536851,"about_ca_topic_score_gemma":0.01833053,"domain_scores_codex":[0.9985821,0.00002321461,0.0003891796,0.0002796531,0.0003532373,0.0003726491],"domain_scores_gemma":[0.9986287,0.0001047155,0.0004611644,0.0005437103,0.0002240284,0.00003765461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000730806,0.001096807,0.8432498,0.0008717641,0.000487603,0.002186917,0.001659381,0.005769004,0.004590814,0.1086027,0.01971493,0.01103951],"study_design_scores_gemma":[0.001064067,0.0000274523,0.4459146,0.0001745175,0.0004304301,0.001378689,0.0009712332,0.0009162036,0.001757358,0.00007459334,0.5464853,0.0008055177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902982,0.0003654112,0.004931177,0.0004636173,0.001599387,0.000235525,0.000389779,0.00008229631,0.001634601],"genre_scores_gemma":[0.9967205,0.00004847862,0.0002735274,0.0004210046,0.001875997,0.00005228299,0.0001733523,0.0000195441,0.000415327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5267704,"threshold_uncertainty_score":0.9995824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129919483003532,"score_gpt":0.2602077424994088,"score_spread":0.2189085476693734,"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."}}