{"id":"W3170300281","doi":"10.1002/cjs.11623","title":"Machine learning in/for blockchain: Future and challenges","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Blockchain; Big data; Computer science; Data science; Data sharing; Foundation (evidence); Emerging technologies; Distributed ledger; Point (geometry); Artificial intelligence; Computer security; Data mining; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01462242,0.0006186633,0.001325458,0.001304361,0.001592216,0.006947206,0.002278793,0.007721814,0.01096087],"category_scores_gemma":[0.01313211,0.0004167594,0.0006104725,0.002779031,0.005291511,0.02213784,0.003468076,0.005525453,0.003795166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002884617,"about_ca_system_score_gemma":0.004870203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010687,"about_ca_topic_score_gemma":0.001997801,"domain_scores_codex":[0.9962648,0.001899539,0.0001493383,0.0004246244,0.0008859651,0.0003758214],"domain_scores_gemma":[0.9799576,0.01462122,0.0007086714,0.001043378,0.002442085,0.001226992],"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":[0.0001830501,0.0002029257,0.00141691,0.001415181,0.00004390219,0.0002274858,0.0003787568,0.009049274,0.0004205142,0.5520577,0.05271628,0.381888],"study_design_scores_gemma":[0.00003153152,0.00008901345,0.0003578843,0.001168302,0.00001094058,0.0001637578,0.0007000283,0.01900969,0.0003555852,0.7595175,0.2185535,0.00004228745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01281605,0.4124014,0.05117321,0.4800623,0.003931366,0.00006819794,0.0002992102,0.0004663558,0.03878194],"genre_scores_gemma":[0.308535,0.5622191,0.05902234,0.02558914,0.01610903,0.0003059365,0.0007164433,0.0002767879,0.0272262],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01462242,"threshold_uncertainty_score":0.07733166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750390910108323,"score_gpt":0.2160171639701456,"score_spread":0.1985132548690623,"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."}}