{"id":"W2965500900","doi":"10.1109/seh.2019.00011","title":"Blockchain: A Panacea for Electronic Health Records?","year":2019,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Blockchain; Health records; Panacea (medicine); Health care; Electronic health record; Computer science; Computer security; Internet privacy; Health data; Healthcare system; Business; Knowledge management; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003673868,0.00008691681,0.0001471344,0.00007894041,0.0001097176,0.00002511409,0.0007068136,0.00007778186,0.00003199347],"category_scores_gemma":[0.00000804904,0.0000784154,0.00005536414,0.0003111335,0.00001736095,0.00003879551,0.000111022,0.0001335758,0.0001151846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006778631,"about_ca_system_score_gemma":0.0001601231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006068674,"about_ca_topic_score_gemma":0.0001158879,"domain_scores_codex":[0.9989458,0.00001698462,0.0001604876,0.0003698955,0.00007473398,0.0004320439],"domain_scores_gemma":[0.9990335,0.00006071554,0.00006764769,0.0007405736,0.00004518659,0.0000524256],"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":[0.00000148358,0.0000353434,0.0001671816,0.000008627493,0.000007043883,4.958039e-8,0.00006253826,0.00000683039,0.00003855015,0.9490983,0.00410579,0.0464682],"study_design_scores_gemma":[0.0007046274,0.0006504235,0.0002769405,0.000007780089,0.000002239031,0.00001644272,0.00006110238,0.2917736,0.001089287,0.2737305,0.4313998,0.0002872495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03069656,0.0003160114,0.936143,0.02890272,0.0001229135,0.0008892391,0.000001899548,0.0005983672,0.00232932],"genre_scores_gemma":[0.9524795,0.00003444128,0.04182592,0.002455838,0.00002364885,0.0001780987,0.000002093553,0.00000773695,0.002992747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9217829,"threshold_uncertainty_score":0.3197687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00886780663964508,"score_gpt":0.248744877397107,"score_spread":0.2398770707574619,"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."}}