{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002127063,0.00005506172,0.0001209179,0.0001422377,0.00009804188,0.00003170717,0.0001967293,0.0000660056,0.000005378709],"category_scores_gemma":[0.0001231031,0.00005608565,0.00001423658,0.0001324487,0.00004357212,0.00001876012,0.00001790021,0.0002437668,3.878481e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003138193,"about_ca_system_score_gemma":0.0004700578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00011304,"about_ca_topic_score_gemma":0.02022092,"domain_scores_codex":[0.9995097,0.00002466864,0.0001654962,0.0001005645,0.00004910002,0.0001504842],"domain_scores_gemma":[0.9993684,0.00008752335,0.00008389556,0.0001114605,0.0001827991,0.000165866],"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":[9.307229e-7,0.000008443068,0.001124363,0.00002667868,0.00001081027,0.0002439094,0.0008465186,0.00006375791,0.000007342752,0.8056337,0.0003543273,0.1916793],"study_design_scores_gemma":[0.001233759,0.000313499,0.01456781,0.00007772403,0.00002370399,0.001591872,0.001451477,0.0979984,0.0001861226,0.2755687,0.6066276,0.0003593279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02196615,0.09500422,0.8080359,0.07361753,0.0006502898,0.0001728158,0.0001758196,0.0000287345,0.0003485751],"genre_scores_gemma":[0.7434501,0.003258521,0.2527769,0.0002910956,0.0001368501,0.000004220533,0.000003277687,0.000008844869,0.00007023218],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7214839,"threshold_uncertainty_score":0.9976575,"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."}}