{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001373718,0.0008928257,0.001589737,0.005157475,0.0004782882,0.001517383,0.0008987478,0.001552158,0.004450106],"category_scores_gemma":[0.003063501,0.0004158149,0.001120961,0.007818,0.0006863991,0.002112814,0.0007450869,0.001567476,0.0011165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069325,"about_ca_system_score_gemma":0.003304063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299736,"about_ca_topic_score_gemma":0.003881118,"domain_scores_codex":[0.9993067,0.0001772779,0.0001595937,0.00009372122,0.0002238158,0.00003887978],"domain_scores_gemma":[0.9964542,0.002769667,0.0002945646,0.00006017596,0.0003421578,0.0000792729],"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":[0.00006449275,0.00008785848,0.0003598316,0.1452521,0.0002569932,0.0002123763,0.0002065863,0.0007016489,0.0007066326,0.01064359,0.03045232,0.8110555],"study_design_scores_gemma":[0.00001573466,0.0001249903,0.001483452,0.0533987,0.0004373635,0.0009667485,0.000160686,0.0002284354,0.0003666882,0.005301489,0.9374738,0.00004191969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005819928,0.9986419,0.000126893,0.0003043584,0.0001064706,0.00000722487,0.00002090402,0.000004241194,0.0007297692],"genre_scores_gemma":[0.0004107532,0.9990114,0.0001789255,0.0001607867,0.00009594331,0.000007603523,0.00001719954,9.783413e-7,0.0001164208],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005157475,"threshold_uncertainty_score":0.01488709,"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."}}