{"id":"W4206688589","doi":"10.1109/bigdata52589.2021.9671707","title":"NFTs: Tulip Mania or Digital Renaissance?","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Big Data (Big Data)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); The Renaissance; Computer science; Business; Internet privacy; History; Art history; Archaeology","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":[0.00208328,0.0003179353,0.0002146711,0.001430504,0.004116119,0.009708664,0.0009069243,0.002152819,0.03179573],"category_scores_gemma":[0.008551015,0.0001822677,0.0002881739,0.001976078,0.00733056,0.0151091,0.003774603,0.002935888,0.005370833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003677197,"about_ca_system_score_gemma":0.002218754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211673,"about_ca_topic_score_gemma":0.01553582,"domain_scores_codex":[0.9986581,0.0003476673,0.00005025735,0.0002032083,0.0004478701,0.0002928907],"domain_scores_gemma":[0.9984294,0.0003898841,0.0001830309,0.0004996237,0.0002966008,0.0002014328],"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":[0.00004673055,0.000008692006,0.0008937261,0.00006816389,0.000005278654,0.0003152249,0.004142217,0.00007370695,0.0002603303,0.8830601,0.04871298,0.06241284],"study_design_scores_gemma":[0.000002338624,0.0000115511,0.0005536673,0.0002103912,0.000003538533,0.0002288773,0.002708676,0.0001050218,0.0004019433,0.03994082,0.9558147,0.00001859701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0357894,0.00683545,0.01049196,0.06223007,0.004156837,0.00005135996,0.0005971902,0.001215341,0.8786324],"genre_scores_gemma":[0.5881203,0.008566615,0.00771351,0.01405684,0.00132382,0.0001206591,0.0005520767,0.001036518,0.3785097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03179573,"threshold_uncertainty_score":0.1063673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.27542687162243,"score_gpt":0.3443330272353151,"score_spread":0.06890615561288516,"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."}}