{"id":"W3125736093","doi":"","title":"Assimilation or Contrast? Status Inequality, Judgment of Product Quality, and Product Choices in Markets","year":2015,"lang":"en","type":"article","venue":"","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Product (mathematics); Inequality; Social status; Contrast (vision); Macro level; Attendance; Quality (philosophy); Context (archaeology); Social psychology; Psychology; Demographic economics; Marketing; Economics; Sociology; Business; Economic growth; Social science; Geography; Economic system","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":[0.001149992,0.0001257662,0.0001867542,0.0005390212,0.0006280231,0.001489013,0.0001693948,0.0003696456,0.003716871],"category_scores_gemma":[0.00573444,0.0001181199,0.0002185392,0.000388379,0.001684243,0.001379525,0.001030005,0.000527486,0.000131605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005015176,"about_ca_system_score_gemma":0.0002579705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00579456,"about_ca_topic_score_gemma":0.007854407,"domain_scores_codex":[0.9995301,0.0001677821,0.00001703249,0.00009722196,0.0001157699,0.00007202434],"domain_scores_gemma":[0.9966412,0.001413867,0.001080367,0.0002130255,0.0001733341,0.0004782243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005667048,0.0004458428,0.960154,0.00002670477,0.00007382003,0.0001134791,0.007722686,0.0004450809,0.003967213,0.008131505,0.000182002,0.01817095],"study_design_scores_gemma":[0.000007734456,0.0001024081,0.9918534,0.000009503968,0.000009965592,0.00002901189,0.002729848,0.0009993908,0.000188571,0.003705327,0.0003564967,0.000008234048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970741,0.00003818493,0.0001794506,0.0001106634,0.000002429112,0.00000235763,0.000008268788,7.775779e-7,0.002583839],"genre_scores_gemma":[0.9997618,0.00001309194,0.00005748906,0.00001423003,0.000003932603,0.000001186101,0.000005903075,6.312426e-7,0.0001418362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00579456,"threshold_uncertainty_score":0.01243412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1579014086107271,"score_gpt":0.3983388815561213,"score_spread":0.2404374729453942,"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."}}