{"id":"W2989363982","doi":"10.69554/asww3312","title":"Personal data protection in blockchain","year":2019,"lang":"en","type":"article","venue":"Journal of data protection & privacy.","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Privacy Analytics (Canada)","funders":"","keywords":"Blockchain; Data Protection Act 1998; Computer security; Internet privacy; Computer 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":[0.0150942,0.0004065068,0.0008077941,0.001244908,0.003348881,0.006141665,0.001940186,0.004664419,0.006198527],"category_scores_gemma":[0.03088423,0.0005430719,0.0008111502,0.001842179,0.00720611,0.01238243,0.007465783,0.003541509,0.001638655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003327016,"about_ca_system_score_gemma":0.005715929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002998153,"about_ca_topic_score_gemma":0.001434539,"domain_scores_codex":[0.9828039,0.007382597,0.0008502761,0.00200231,0.005614408,0.001346595],"domain_scores_gemma":[0.9712363,0.01411834,0.001835448,0.009172313,0.002831544,0.0008060743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003726229,0.00002164847,0.0004725071,0.00008925428,0.0000152475,0.0002003456,0.0006960182,0.007436946,0.0005576853,0.9691281,0.002238336,0.01910672],"study_design_scores_gemma":[0.00002801345,0.00003930144,0.0001810993,0.0001390592,0.00001374819,0.0002211346,0.0001865976,0.01948719,0.001457815,0.9350991,0.04311956,0.00002720219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05423504,0.002909745,0.7592533,0.02354769,0.0004603143,0.0005375977,0.0004218796,0.0006209341,0.1580136],"genre_scores_gemma":[0.8979241,0.002252355,0.06389778,0.002229572,0.0002980984,0.0005552485,0.000297268,0.0001221532,0.03242336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0150942,"threshold_uncertainty_score":0.07982677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099074494383356,"score_gpt":0.3433165357891764,"score_spread":0.2334090863508408,"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."}}