{"id":"W3197562226","doi":"10.3390/bdcc5030041","title":"A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health","year":2021,"lang":"en","type":"review","venue":"Big Data and Cognitive Computing","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Big data; Computer science; Context (archaeology); Data science; Wearable technology; Health care; Cloud computing; Analytics; Applications of artificial intelligence; Protocol (science); Artificial intelligence; Field (mathematics); Wearable computer; Medicine; Data mining; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001491465,0.0003463886,0.002449865,0.0003806853,0.0001083128,0.00001840995,0.0003794355,0.0001891316,0.000003409594],"category_scores_gemma":[0.002895965,0.0002925168,0.00003553604,0.001656113,0.0005289324,0.0000224844,0.002365697,0.0004275915,0.00000110185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005985223,"about_ca_system_score_gemma":0.0009446073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001874172,"about_ca_topic_score_gemma":0.0001800732,"domain_scores_codex":[0.9969181,0.0002390225,0.001164722,0.00120246,0.0001928148,0.0002829004],"domain_scores_gemma":[0.9966735,0.001345942,0.0006124248,0.001015424,0.0001999527,0.0001527864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002644504,0.00008699945,0.0001106471,0.07460165,0.00009311701,0.00001885624,0.00003107157,6.312807e-9,6.737502e-8,0.0001722565,0.0006685304,0.9242141],"study_design_scores_gemma":[0.0001595041,0.0001005677,0.00002690497,0.3913942,0.00115263,0.000222594,0.0003478994,0.0003068195,1.961631e-7,0.0001041437,0.6060072,0.0001772762],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001310002,0.97149,0.02043557,0.004546311,0.0001013137,0.001565542,0.001804803,0.00002927645,0.00001406153],"genre_scores_gemma":[0.0002345433,0.9896273,0.0006058484,0.004043079,0.0004142497,0.00002940155,0.005023564,0.00002092424,0.000001080836],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9240369,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3100406218550014,"score_gpt":0.485184447604534,"score_spread":0.1751438257495326,"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."}}