{"id":"W4324144845","doi":"10.21900/j.median.v19i1.1174","title":"The Medium is the Data Set: Art and AI","year":2023,"lang":"en","type":"article","venue":"Media-N","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Data set; Computer science; Information retrieval; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002738396,0.0005801849,0.00073287,0.005131442,0.001135979,0.007604405,0.001204508,0.001719011,0.005949151],"category_scores_gemma":[0.009758095,0.000428444,0.0003772236,0.006959494,0.006868083,0.007870743,0.001504984,0.002334256,0.001551363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002566603,"about_ca_system_score_gemma":0.003379003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01717373,"about_ca_topic_score_gemma":0.02654362,"domain_scores_codex":[0.9983394,0.0006152886,0.0001543638,0.0001398098,0.0006735805,0.00007748455],"domain_scores_gemma":[0.9901934,0.008153315,0.0001857781,0.0003256723,0.0009088214,0.0002330251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004115633,0.00003232675,0.001033956,0.005421826,0.000105929,0.000172912,0.001701532,0.001012831,0.0003830787,0.1439737,0.1256612,0.7204594],"study_design_scores_gemma":[0.000004838703,0.00001362551,0.001541922,0.00415303,0.00002684545,0.0004098698,0.001125884,0.0004701079,0.0002052614,0.0578201,0.9341984,0.00002996534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0005308969,0.9616186,0.003282484,0.008618392,0.0008684227,0.00001061448,0.00008733669,0.00005532309,0.02492775],"genre_scores_gemma":[0.01986372,0.9644272,0.004167582,0.002606096,0.001869662,0.00003927386,0.0001950754,0.00008789636,0.006743459],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01717373,"threshold_uncertainty_score":0.03414756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156869356990351,"score_gpt":0.2642160478109559,"score_spread":0.2026473542410524,"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."}}