{"id":"W4416524066","doi":"10.1212/wn9.0000000000000044","title":"Neuroimaging Findings Across the Spectrum of Kidney Disease","year":2025,"lang":"en","type":"article","venue":"Neurology Open Access","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Kidney disease; Neuroimaging; Disease; Kidney; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002685779,0.0001212286,0.0002827666,0.00009394497,0.000156716,0.0002575969,0.001326125,0.00002802359,0.0002547819],"category_scores_gemma":[0.0003868772,0.00007701538,0.0001215354,0.0004613722,0.0002023813,0.0002189454,0.002263564,0.0001942334,0.00001744086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007114792,"about_ca_system_score_gemma":0.0001697667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001198424,"about_ca_topic_score_gemma":0.00001058345,"domain_scores_codex":[0.9988874,0.00009868402,0.0002493702,0.000348276,0.0001565264,0.0002597296],"domain_scores_gemma":[0.9990233,0.00007652399,0.00007558188,0.0005763848,0.00003798314,0.000210279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002331925,0.0006113998,0.8287254,0.0003508792,0.0003124436,0.0004366649,0.0001205017,0.0001170676,0.000605427,0.009175125,0.1527973,0.004415911],"study_design_scores_gemma":[0.001117855,0.00005432623,0.9214053,0.00004350514,0.0002957314,0.00000252919,0.00001131163,0.0004891884,0.0003732898,0.001413797,0.07472835,0.00006477787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7778555,0.00009206705,0.00008355873,0.1903428,0.0004692724,0.0007922083,0.00002432113,0.00002509676,0.03031516],"genre_scores_gemma":[0.9232888,0.00004467712,0.000005327297,0.07440801,0.00004177316,0.00004029154,0.0000167458,0.00001071299,0.002143651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1454333,"threshold_uncertainty_score":0.3140596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757702503193043,"score_gpt":0.3877203313575689,"score_spread":0.3601433063256385,"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."}}