{"id":"W3048210222","doi":"10.1109/jbhi.2020.3003767","title":"Guest Editorial: Blockchain and Healthcare Computing","year":2020,"lang":"en","type":"editorial","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Blockchain; Health care; Special section; Computer science; Data science; Big data; Field (mathematics); Focus (optics); Knowledge management; Computer security; Political science; Engineering; Data mining","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007741603,0.0005054073,0.001964368,0.000461522,0.001392164,0.00005452048,0.0004929102,0.002440508,0.00001702032],"category_scores_gemma":[0.003357813,0.0004021624,0.0001367706,0.0003917477,0.0004397018,0.0001656887,0.0002835897,0.008722741,0.00004722437],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006079489,"about_ca_system_score_gemma":0.008362176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138179,"about_ca_topic_score_gemma":0.0003190441,"domain_scores_codex":[0.9882473,0.0007484623,0.007114834,0.0002505781,0.002458232,0.0011806],"domain_scores_gemma":[0.9851863,0.003752953,0.006336147,0.0002648066,0.001852841,0.002606889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001013843,0.00003275064,0.0003240375,0.01252147,0.00004750471,0.00001607532,0.01836988,9.443954e-7,5.5713e-7,0.0000360357,0.957631,0.01091835],"study_design_scores_gemma":[0.000661562,0.001751965,0.00002262635,0.005340288,0.00004019615,0.00002318167,0.008575897,0.001007759,9.700567e-7,0.0003295032,0.9819567,0.0002893228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0007884572,0.002713195,0.0003876092,0.0335908,0.9613026,0.0008006781,0.0003189099,0.00005987346,0.00003790114],"genre_scores_gemma":[0.0008293564,0.007040014,0.001686041,0.004896474,0.9853677,0.000007393081,0.00007652268,0.00006092856,0.00003553464],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02869433,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09646917646777255,"score_gpt":0.4635744295150107,"score_spread":0.3671052530472381,"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."}}