{"id":"W4224920816","doi":"10.5204/mcj.2891","title":"NFTs and Digital Art","year":2022,"lang":"en","type":"article","venue":"M/C Journal","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Context (archaeology); Art; Digital art; Cryptocurrency; Painting; Visual arts; History of art; Creativity; Beauty; Contemporary art; Art methodology; Art history; Architecture; Aesthetics; History; Computer science; Performance art; World Wide Web; Law; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001491421,0.00004554815,0.00007020304,0.00006721177,0.00130442,0.0002095242,0.00006214088,0.000004669818,0.01952019],"category_scores_gemma":[0.000007798025,0.00003980176,0.00005788054,0.00001266479,0.00006778288,0.0002445767,0.00005601777,0.0001756878,0.00006527922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002819092,"about_ca_system_score_gemma":0.00001599553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001691383,"about_ca_topic_score_gemma":0.00002322548,"domain_scores_codex":[0.9995971,0.00002576572,0.00009795195,0.0000575285,0.000128694,0.00009289884],"domain_scores_gemma":[0.9998202,0.00001547285,0.00004755676,0.00004433246,0.0000192825,0.00005313346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009742685,0.0001286375,0.001802293,0.000006900198,0.0001717852,0.0001916495,0.04566056,0.00002726958,0.00002193774,0.05155415,0.855633,0.04470446],"study_design_scores_gemma":[0.0001026863,0.00008733183,0.00004486202,0.00000120474,0.00001796232,0.0001101465,0.003482898,0.00003926881,4.732372e-7,0.002030338,0.9940247,0.00005815894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2471613,0.0006091013,0.00006021904,0.0009467267,0.0009057773,0.00003195228,0.00002546976,0.00003057281,0.7502289],"genre_scores_gemma":[0.8658609,0.00001163973,0.000007597198,0.0002555974,0.0003997604,0.000001675187,0.000003779747,0.000005197361,0.1334539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6186996,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116809590373771,"score_gpt":0.1608160737674656,"score_spread":0.1496479778637279,"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."}}