{"id":"W3017326594","doi":"10.1172/jci.insight.136995","title":"Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality","year":2020,"lang":"en","type":"article","venue":"JCI Insight","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; St. Michael's Hospital","funders":"Banting and Best Diabetes Centre, University of Toronto; Canadian Institutes of Health Research; St. Michael's Hospital Foundation; Natural Sciences and Engineering Research Council of Canada; Canadian Society of Transplantation; St. Michael’s Hospital Foundation","keywords":"Medicine; Kidney disease; Fibrosis; Kidney; Kidney transplantation; Transplantation; Nephrogenic systemic fibrosis; Pathology; Nephrology; Renal function; Population; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001360774,0.0001974901,0.0003265702,0.00005334973,0.00007240048,0.00005462224,0.000173939,0.0000569709,0.00007994886],"category_scores_gemma":[0.0003736669,0.0001957564,0.0001076634,0.0002181019,0.00004707891,0.0002517323,0.00001707784,0.0001707543,0.000005085149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005258746,"about_ca_system_score_gemma":0.0001018903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002008657,"about_ca_topic_score_gemma":6.524108e-7,"domain_scores_codex":[0.9988342,0.00002279513,0.0004029739,0.0002323494,0.0001859697,0.000321721],"domain_scores_gemma":[0.9992028,0.0002161066,0.00006717237,0.0001798127,0.00006570189,0.0002683327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002713018,0.00003070462,0.001897528,0.001895378,0.00006635412,0.000007064134,0.002659764,0.003352531,0.9837313,0.0001064945,0.005079457,0.00114632],"study_design_scores_gemma":[0.001198267,0.00003179965,0.001490375,0.0003507932,0.0001779219,0.00001019901,0.0004695777,0.520937,0.4661311,0.0001127862,0.008552704,0.0005375296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1354162,0.0005658366,0.8527894,0.0005825492,0.0006707123,0.00054049,0.0004738235,0.000664019,0.008296923],"genre_scores_gemma":[0.9927921,0.0000260011,0.00615997,0.0007406658,0.0001404143,0.00002070164,0.00004720709,0.00005741671,0.00001549332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8573759,"threshold_uncertainty_score":0.7982715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054325183979093,"score_gpt":0.252921944402109,"score_spread":0.2323786925623181,"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."}}