{"id":"W2057096430","doi":"10.1038/ncpneph0066","title":"Microarrays and transcriptome analysis in renal transplantation","year":2006,"lang":"en","type":"article","venue":"Nature Clinical Practice Nephrology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transcriptome; Transplantation; DNA microarray; Renal transplant; Medicine; Biopsy; Pathology; Tissue microarray; Biology; Internal medicine; Immunohistochemistry; Gene expression; Gene","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":[0.0005729132,0.0001542354,0.0005215885,0.0002928406,0.00004004751,0.00001463336,0.00004842249,0.0006188289,0.00007169513],"category_scores_gemma":[0.0001702063,0.0001244637,0.0002108666,0.000536205,0.0001128411,0.0001874909,0.00000356483,0.001004302,0.00001416987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002309073,"about_ca_system_score_gemma":0.00004389176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001751321,"about_ca_topic_score_gemma":0.0004732849,"domain_scores_codex":[0.998237,0.0002770917,0.0006701436,0.0004071861,0.0001888007,0.0002198351],"domain_scores_gemma":[0.997912,0.001599933,0.0001503368,0.0001599005,0.00008206123,0.00009577824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0141974,0.002368248,0.9559149,0.000214169,0.002898249,0.004088401,0.0002808687,0.0001308686,0.009627813,0.004107497,0.0004999316,0.005671658],"study_design_scores_gemma":[0.006465075,0.0004152367,0.9722397,0.00002500263,0.004369872,0.0005077036,0.00002307042,0.0001178023,0.0001333244,0.0003149187,0.0152741,0.0001141953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776011,0.001800284,0.001542465,0.01276271,0.0001897064,0.0003612763,0.00002980212,0.00004432066,0.005668323],"genre_scores_gemma":[0.9807211,0.001507116,0.008321574,0.008824095,0.0001585189,0.000009401527,0.0002650704,0.00001183511,0.0001813426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0163248,"threshold_uncertainty_score":0.5075485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727489294308114,"score_gpt":0.3784997870367144,"score_spread":0.3612248940936333,"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."}}