{"id":"W2159382074","doi":"10.5539/ass.v4n6p93","title":"Cultural Details in China’s Commercial Display","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Consumption (sociology); Business; Chinese culture; Scale (ratio); Advertising; Chinese economy; Marketing; Commerce; Political science; Sociology; Geography; Social science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004967757,0.0001255161,0.00009237461,0.0007374816,0.003316572,0.001872869,0.0002411603,0.0001940553,0.003485915],"category_scores_gemma":[0.0008376673,0.0001022355,0.0001392572,0.001426743,0.001891066,0.0006066545,0.001295593,0.0003784153,0.00009706421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003005448,"about_ca_system_score_gemma":0.001536423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04848049,"about_ca_topic_score_gemma":0.08656276,"domain_scores_codex":[0.9997105,0.00007470045,0.00002226774,0.00003076863,0.00008212139,0.00007955843],"domain_scores_gemma":[0.9996343,0.00006874205,0.00008124,0.00003784873,0.00006995195,0.0001078827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003547915,0.0001497883,0.4663027,0.0001845084,0.00007771677,0.00373009,0.3360549,0.001009081,0.009591419,0.09637392,0.00456376,0.08160737],"study_design_scores_gemma":[0.00001862841,0.00006253129,0.8633147,0.00008259831,0.00003830694,0.0005263787,0.08465189,0.001236069,0.001257382,0.003802632,0.04494649,0.00006234812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751256,0.0001250929,0.00008428157,0.000221868,0.000007808218,0.000006198052,0.00002262028,0.000003296734,0.02440318],"genre_scores_gemma":[0.9986933,0.00006215473,0.00003103985,0.00001493631,0.000002777491,0.000001231972,0.000009765744,0.000001662552,0.001183178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04848049,"threshold_uncertainty_score":0.09639657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03334837101300994,"score_gpt":0.3325718523507706,"score_spread":0.2992234813377607,"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."}}