{"id":"W4388272969","doi":"10.1016/j.jcjd.2023.10.309","title":"EXTERNAL VALIDATION OF AI PRIMARY GRAFT DYSFUNCTION PREDICTION CALCULATOR","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Calculator; Incidence (geometry); Multicenter study; Population; Internal medicine; Intensive care medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01924193,0.00120241,0.000901588,0.001693333,0.0008195087,0.00191679,0.001774999,0.001677429,0.004066857],"category_scores_gemma":[0.04174542,0.0003211318,0.0009830573,0.0009773052,0.001031741,0.0007974367,0.001873034,0.001332075,0.003483647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006829652,"about_ca_system_score_gemma":0.001454075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003285932,"about_ca_topic_score_gemma":0.0024318,"domain_scores_codex":[0.9909689,0.004671657,0.0005538944,0.001864681,0.001567551,0.0003733327],"domain_scores_gemma":[0.9649031,0.01819297,0.0014369,0.005933533,0.008796834,0.0007366974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01379645,0.003246969,0.602653,0.0006270924,0.003045869,0.000556483,0.0008653797,0.06738199,0.01719762,0.002893514,0.02738213,0.2603534],"study_design_scores_gemma":[0.001855923,0.002930154,0.3365179,0.0003386053,0.001847486,0.001160878,0.0003644059,0.5801108,0.04650349,0.003557649,0.02464939,0.0001632752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9268478,0.0007907221,0.05326358,0.0004363683,0.0005335404,0.000618937,0.006719824,0.002635115,0.008154217],"genre_scores_gemma":[0.9723697,0.00008143883,0.01456819,0.0002335701,0.0001099555,0.000435562,0.009036678,0.0001975114,0.002967294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01924193,"threshold_uncertainty_score":0.1017622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118125592029004,"score_gpt":0.2119566501347582,"score_spread":0.2007753942144682,"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."}}