{"id":"W1906495479","doi":"10.1016/j.semnephrol.2015.04.006","title":"Morphology in the Digital Age: Integrating High-Resolution Description of Structural Alterations With Phenotypes and Genotypes","year":2015,"lang":"en","type":"review","venue":"Seminars in Nephrology","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Digital pathology; Computer science; Telepathology; Pathology; Precision medicine; Medical physics; Clinical trial; Renal pathology; Schema (genetic algorithms); Medicine; Artificial intelligence; Data science; Computational biology; Biology; Information retrieval; Health care","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":[0.001057774,0.0008553377,0.001893995,0.003492681,0.000159439,0.001831467,0.001143963,0.001432621,0.001741191],"category_scores_gemma":[0.001538144,0.0003794781,0.0006304003,0.002559464,0.001077197,0.002047504,0.0009523138,0.00153805,0.001145101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005242552,"about_ca_system_score_gemma":0.0007855147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424536,"about_ca_topic_score_gemma":0.001958717,"domain_scores_codex":[0.9996099,0.00008470585,0.00004761139,0.00005674319,0.0001703958,0.00003059064],"domain_scores_gemma":[0.9991665,0.0004888129,0.0001119769,0.00003549337,0.0001531311,0.00004406538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006471528,0.00003790993,0.001171321,0.01002505,0.0001327021,0.0005908526,0.00008656806,0.0005954302,0.003740306,0.003877969,0.01289554,0.9667817],"study_design_scores_gemma":[0.00002664805,0.0001417038,0.01023162,0.007679466,0.0004855833,0.01745147,0.0003456406,0.001224575,0.00434759,0.00818694,0.9497203,0.0001585295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003827668,0.9973941,0.0009532305,0.0002872849,0.0001425349,0.000004401341,0.00003550885,0.00002192238,0.0007781843],"genre_scores_gemma":[0.003349236,0.9936515,0.001847157,0.0002788994,0.0002926222,0.000007458642,0.00006127701,0.000006352855,0.0005054905],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003492681,"threshold_uncertainty_score":0.005824924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711242500048404,"score_gpt":0.2990850284839121,"score_spread":0.271972603483428,"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."}}