{"id":"W2901491885","doi":"10.1353/ari.2018.0029","title":"Fakes, Counterfeits, and Derivatives in Tash Aw's Five Star Billionaire","year":2018,"lang":"en","type":"article","venue":"Ariel","topic":"Postcolonial and Cultural Literary Studies","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Counterfeit; Context (archaeology); Argument (complex analysis); Copying; Ambiguity; Negotiation; Sociology; Value (mathematics); Law and economics; Aesthetics; Epistemology; Political science; History; Computer science; Law; Philosophy; Linguistics; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001162538,0.0003172613,0.0002110488,0.0007455997,0.006994056,0.006567873,0.0003792133,0.002378915,0.004367807],"category_scores_gemma":[0.002742643,0.0002496592,0.0002773759,0.000641838,0.01311597,0.006213208,0.003025277,0.002878356,0.0005209998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00282224,"about_ca_system_score_gemma":0.001331815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002757056,"about_ca_topic_score_gemma":0.005085455,"domain_scores_codex":[0.9991726,0.0003352647,0.00003897427,0.00007505112,0.0002229886,0.0001551536],"domain_scores_gemma":[0.9990273,0.0005082247,0.0001716731,0.00009656473,0.0001202626,0.00007592388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005297161,0.00002971489,0.0008730449,0.00006395809,0.000005388623,0.0009840544,0.1107195,0.0001348219,0.001037632,0.8635731,0.008858713,0.01366696],"study_design_scores_gemma":[0.00002378786,0.0001600332,0.003080512,0.0003066468,0.00003347856,0.003018163,0.1016941,0.00162925,0.004046231,0.1328318,0.7530997,0.00007636449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.479921,0.002784591,0.008748231,0.02569936,0.001124296,0.00005317856,0.00005930268,0.0001120685,0.481498],"genre_scores_gemma":[0.9529687,0.0005926601,0.0009806853,0.00142904,0.00009747454,0.0000159527,0.0000126462,0.00004547657,0.04385738],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.006994056,"threshold_uncertainty_score":0.02047682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907136412489159,"score_gpt":0.2179615751736655,"score_spread":0.198890211048774,"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."}}