{"id":"W4400382926","doi":"10.14740/wjon1822","title":"Cancer Screening in Renal Transplant Recipients: Real-World Data","year":2024,"lang":"en","type":"article","venue":"World Journal of Oncology","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Renal transplant; Real world data; Intensive care medicine; Urology; Internal medicine; Transplantation; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001391901,0.0001498351,0.0002605879,0.001621047,0.0004872133,0.0008645584,0.0003127443,0.0004508312,0.001326832],"category_scores_gemma":[0.005218529,0.0001583151,0.0002624204,0.002602457,0.0003639584,0.0006352788,0.0006627805,0.0004495418,0.0002175668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004422082,"about_ca_system_score_gemma":0.0005784748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004556767,"about_ca_topic_score_gemma":0.005249194,"domain_scores_codex":[0.9985784,0.0004689681,0.000327232,0.0001850648,0.0003039041,0.0001363796],"domain_scores_gemma":[0.9908761,0.002516824,0.00480121,0.0004247054,0.0007644211,0.0006167093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000250005,0.00002282493,0.9985355,0.00002844675,0.00001215361,0.000123415,0.00009912987,0.00002258635,0.00004093707,0.000009700003,0.0001384059,0.0009418549],"study_design_scores_gemma":[0.000007050932,0.00009660518,0.9960194,0.00003255229,0.00002394955,0.002078553,0.0007620186,0.0001807272,0.00009522408,0.00002067031,0.0006765642,0.000006663768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971872,0.000702185,0.0001073049,0.0001348844,0.000005053707,0.00001827031,0.001305051,0.000004595051,0.0005354527],"genre_scores_gemma":[0.9981076,0.0003927599,0.0001723999,0.00007602736,0.00001495655,0.00001779623,0.001181329,0.000001811451,0.00003533666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004556767,"threshold_uncertainty_score":0.009060502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06211501689129938,"score_gpt":0.3864506745384662,"score_spread":0.3243356576471668,"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."}}