{"id":"W7074241529","doi":"","title":"The Kidney Failure Risk Equation for Prediction of Allograft Loss in Kidney Transplant Recipients.","year":2020,"lang":"en","type":"article","venue":"","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kidney transplantation; Kidney; Renal function; Urinary system; Kidney transplant; Post-hoc analysis; Incidence (geometry); Transplantation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005499084,0.0008110327,0.0007346467,0.00150711,0.0001947975,0.0006271316,0.0009072078,0.0005566566,0.002957633],"category_scores_gemma":[0.01325791,0.0002725743,0.001256219,0.0005601069,0.0001316812,0.0005064469,0.0006929481,0.001490301,0.0008880465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000595091,"about_ca_system_score_gemma":0.001090443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005341351,"about_ca_topic_score_gemma":0.00336407,"domain_scores_codex":[0.9981027,0.001015297,0.0001412248,0.0001533074,0.0005274527,0.00006005495],"domain_scores_gemma":[0.997393,0.001358119,0.0005128356,0.0002390591,0.000390291,0.0001066022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001240488,0.0005563271,0.7877608,0.0003934404,0.001715829,0.0001940907,0.0001377871,0.02266804,0.0005566452,0.005675017,0.02188693,0.1572147],"study_design_scores_gemma":[0.000956825,0.001099787,0.5803707,0.00104805,0.001235349,0.001683375,0.0001943895,0.3710681,0.00122697,0.01329049,0.02770281,0.0001230941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5730085,0.0178344,0.3443527,0.01121388,0.001312414,0.003537934,0.0342878,0.001877463,0.01257495],"genre_scores_gemma":[0.8880558,0.002220054,0.09210637,0.0008898554,0.0003433184,0.001626449,0.01146124,0.00008735892,0.00320955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005499084,"threshold_uncertainty_score":0.02908224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109139168076976,"score_gpt":0.2147431891333194,"score_spread":0.2038292723256218,"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."}}