{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005344356,0.0003748055,0.000187061,0.00244082,0.002929084,0.008398491,0.000630245,0.00219713,0.04457675],"category_scores_gemma":[0.001773499,0.0001773529,0.0003436203,0.00243114,0.01082519,0.005844705,0.003066879,0.002751424,0.003064812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005090758,"about_ca_system_score_gemma":0.001363248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005954896,"about_ca_topic_score_gemma":0.005844375,"domain_scores_codex":[0.9993116,0.0001602887,0.00004605544,0.0001433893,0.000231528,0.0001070587],"domain_scores_gemma":[0.999332,0.0004098134,0.00005939813,0.00008349905,0.00006665714,0.00004847019],"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":[0.000007282131,0.000007086316,0.000194017,0.00006683329,0.000001065122,0.00007394984,0.001218376,0.0001140323,0.00005826896,0.9636137,0.004210294,0.03043504],"study_design_scores_gemma":[0.000003884412,0.00001119979,0.0009476603,0.0004214168,0.000002558403,0.0004174038,0.00146727,0.0001872068,0.000208248,0.1708719,0.8254515,0.000009621075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007418775,0.02490303,0.003642567,0.0046304,0.000638428,0.00003600165,0.0001092019,0.00006143295,0.9585601],"genre_scores_gemma":[0.5655373,0.05396453,0.00787014,0.00307081,0.003032934,0.0001430183,0.000314014,0.0001537423,0.3659137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04457675,"threshold_uncertainty_score":0.149124,"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."}}