{"id":"W2153881148","doi":"10.2139/ssrn.634210","title":"Cultural Biases in Economic Exchange?","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":418,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Cultural exchange; Economics; Political science; Sociology","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":[0.01259602,0.0002420062,0.0004745434,0.001835575,0.001512816,0.005537341,0.0006446679,0.001698953,0.0107253],"category_scores_gemma":[0.08749051,0.0003109465,0.0001701018,0.003456518,0.005039828,0.006813667,0.002685955,0.001273761,0.0006518423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131206,"about_ca_system_score_gemma":0.001179339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007307048,"about_ca_topic_score_gemma":0.007634908,"domain_scores_codex":[0.9950859,0.002890856,0.0003471631,0.0004487028,0.0006724985,0.0005548136],"domain_scores_gemma":[0.9412138,0.03782414,0.01049557,0.005397634,0.003425294,0.001643508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001141677,0.0003784867,0.5832026,0.0003638962,0.0004522268,0.0007680966,0.09014118,0.0014685,0.0005505151,0.2416836,0.005017487,0.07483169],"study_design_scores_gemma":[0.0002497525,0.0001312805,0.5341451,0.0006698165,0.000303271,0.0007168132,0.1183358,0.002285594,0.00107288,0.3186598,0.02332284,0.0001071238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355177,0.00188429,0.000939398,0.01333982,0.0001576598,0.00002439429,0.0001843564,0.00001015606,0.04794223],"genre_scores_gemma":[0.9983875,0.0002999731,0.0001233229,0.0004759273,0.00006059325,0.000008426251,0.00002549691,0.000008280927,0.0006105839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259602,"threshold_uncertainty_score":0.06661493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028585873197993,"score_gpt":0.3065896534560867,"score_spread":0.2763037947241068,"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."}}