{"id":"W3084307842","doi":"10.1681/asn.2020030286","title":"Extracellular Matrix Injury of Kidney Allografts in Antibody-Mediated Rejection: A Proteomics Study","year":2020,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Toronto General Hospital; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Kidney Foundation of Canada; Toronto General and Western Hospital Foundation","keywords":"Extracellular matrix; Kidney; Proteomics; Medicine; Antibody; Pathology; Immunology; Chemistry; Biology; Cell biology; Internal medicine; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003581357,0.0002457666,0.0002361788,0.0005747555,0.0002044547,0.0003515048,0.0001722364,0.0003676972,0.0007062784],"category_scores_gemma":[0.0001435177,0.0001251386,0.0003067506,0.0003885299,0.0002265397,0.0002696909,0.0002619722,0.0002444206,0.000239458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491818,"about_ca_system_score_gemma":0.0001716892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002571974,"about_ca_topic_score_gemma":0.0003379032,"domain_scores_codex":[0.9998773,0.00001383354,0.000009451288,0.00003547799,0.00003472599,0.00002927196],"domain_scores_gemma":[0.999862,0.00001367923,0.00003754691,0.00000882589,0.00003249142,0.00004540825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003377595,0.00007321648,0.009293312,0.00009557138,0.00003278324,0.0002646343,0.00006009169,0.00002604392,0.98671,0.00003500124,0.00004512113,0.003026513],"study_design_scores_gemma":[0.00005889436,0.001570107,0.7120228,0.00003563237,0.0003142568,0.005326871,0.0004719574,0.001515107,0.2740529,0.0001711628,0.004434297,0.00002602989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954081,0.003161316,0.0009004436,0.00003345787,0.00001567726,0.00002102714,0.0001280347,0.00001114183,0.0003208243],"genre_scores_gemma":[0.9949114,0.002316468,0.001518499,0.00007905352,0.00002873118,0.00002426624,0.0003785905,0.000006590511,0.0007365644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007062784,"threshold_uncertainty_score":0.002362788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923533096283857,"score_gpt":0.3224681864234596,"score_spread":0.3032328554606211,"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."}}