{"id":"W2884587772","doi":"10.1097/tp.0000000000002375","title":"A Clinical Decision Support System Can Help Facilitate Living Kidney Donor Assessments","year":2018,"lang":"en","type":"letter","venue":"Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Kidney transplantation; Medicine; Intensive care medicine; Kidney; Clinical decision making; Decision support system; Computer science; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005198856,0.0007049826,0.0005941355,0.000716959,0.002836174,0.004821577,0.001607931,0.03132921,0.009543795],"category_scores_gemma":[0.03498971,0.0004793358,0.0009161587,0.0005302305,0.002044895,0.005697117,0.002473129,0.03076461,0.006763681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002855595,"about_ca_system_score_gemma":0.004182171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559712,"about_ca_topic_score_gemma":0.004556979,"domain_scores_codex":[0.9949301,0.002381832,0.0007563478,0.0004245372,0.001031899,0.0004752531],"domain_scores_gemma":[0.9816507,0.01190047,0.0009562006,0.0005796474,0.002898612,0.002014292],"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":[0.00006372518,0.0001569238,0.002795694,0.00009980961,0.00002039376,0.01105465,0.0006865201,0.0004271201,0.0005744096,0.008103325,0.9231974,0.05282002],"study_design_scores_gemma":[0.0001074123,0.0001322398,0.001152036,0.0003833459,0.0000189947,0.01056803,0.0009363003,0.002099863,0.0003872544,0.01535363,0.968774,0.00008698687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.000729087,0.000569807,0.0009204257,0.9856442,0.006457884,0.00002207856,0.00002775148,0.00008364741,0.005545121],"genre_scores_gemma":[0.02316583,0.002347228,0.005134377,0.9271166,0.03125562,0.0001209356,0.00007653909,0.00005709979,0.01072583],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03132921,"threshold_uncertainty_score":0.03192723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666750116610335,"score_gpt":0.3488152643931254,"score_spread":0.302147763227022,"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."}}