{"id":"W8458067","doi":"10.1525/aft.2008.36.1.22","title":"Art of Appropriation","year":2008,"lang":"en","type":"article","venue":"Afterimage","topic":"Art, Politics, and Modernism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Appropriation; Art; Visual arts; Art history; History; World Wide Web; Computer 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000316268,0.00005137227,0.00008209672,0.00002739472,0.00008258305,0.00001070642,0.00004742657,0.00001436944,0.001051488],"category_scores_gemma":[0.000007563473,0.00004600248,0.0000377576,6.347839e-7,0.0001910888,0.0001201395,0.00001644404,0.00002938943,0.0002462179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000074945,"about_ca_system_score_gemma":0.00001516667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000132565,"about_ca_topic_score_gemma":0.0002535137,"domain_scores_codex":[0.9996237,0.000009978586,0.0001146043,0.0000715935,0.00007938719,0.0001007998],"domain_scores_gemma":[0.9997666,0.000008589023,0.00003975962,0.0001168918,0.00004343758,0.00002469899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005934712,0.0003551702,0.001552119,0.0001400658,0.00006442772,0.00004260362,0.6087666,0.000002681619,0.006831703,0.2144679,0.1649448,0.002772717],"study_design_scores_gemma":[0.0002037487,0.00005886108,0.002531978,0.000007869655,0.000009494375,0.000004906346,0.0004632339,0.00004768739,0.002860584,0.002637119,0.9910681,0.000106364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2751296,0.00005456885,0.0006626016,0.0001674951,0.0002843598,0.00008839671,0.00004077916,0.0000559402,0.7235163],"genre_scores_gemma":[0.9194023,0.00001266981,0.0001780781,0.0003027687,0.0003057059,0.0000052214,0.0000161954,0.000008132662,0.07976893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8261234,"threshold_uncertainty_score":0.9998617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04972456741699528,"score_gpt":0.2279482802207522,"score_spread":0.1782237128037569,"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."}}