{"id":"W3214278075","doi":"10.1093/ndt/gfab320","title":"Digital health and artificial intelligence in kidney research: a report from the 2020 Kidney Disease Clinical Trialists (KDCT) meeting","year":2021,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Digital health; mHealth; Medicine; Telemedicine; eHealth; Wearable technology; Data science; Health care; Digital Revolution; Wearable computer; Computer science; Nursing; Telecommunications","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":[0.09619591,0.001223167,0.001568809,0.003323413,0.002278369,0.01343355,0.001634045,0.01174447,0.007591188],"category_scores_gemma":[0.08992472,0.0008149232,0.001996332,0.00433261,0.003007048,0.008953529,0.008338683,0.01367824,0.002977326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006422659,"about_ca_system_score_gemma":0.03152651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006305706,"about_ca_topic_score_gemma":0.01140907,"domain_scores_codex":[0.970107,0.01282151,0.002874596,0.0009245367,0.01072557,0.002546829],"domain_scores_gemma":[0.867378,0.07825957,0.00713343,0.002145445,0.01830407,0.02677941],"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":[0.0002651979,0.0002217908,0.002573088,0.002096815,0.00007487201,0.0003008154,0.0007032525,0.0005010485,0.0004486293,0.008962655,0.7666204,0.2172314],"study_design_scores_gemma":[0.00008470723,0.0001610442,0.004334804,0.003292317,0.00007533249,0.000290566,0.0008952658,0.0004840698,0.0003927322,0.004475266,0.9854357,0.0000782432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002653173,0.1302843,0.002237681,0.8354865,0.01830766,0.0001903811,0.00123584,0.0001464203,0.00945811],"genre_scores_gemma":[0.04614386,0.5299606,0.01485411,0.3323002,0.05039996,0.001271855,0.004813832,0.0003127482,0.01994283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09619591,"threshold_uncertainty_score":0.5087386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2194837863461459,"score_gpt":0.4714682940864968,"score_spread":0.2519845077403509,"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."}}