{"id":"W4306407691","doi":"10.32920/21290937","title":"Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Toronto Metropolitan University","funders":"Banting and Best Diabetes Centre, University of Toronto; Canadian Institutes of Health Research; 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; Renal function; Pathology; Nephrogenic systemic fibrosis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006141051,0.0004133128,0.0002175913,0.0005516607,0.0001566712,0.0005642255,0.0002428625,0.0007910109,0.002317262],"category_scores_gemma":[0.000800347,0.0002331441,0.0002182725,0.0003163292,0.0004113896,0.0008195709,0.0004174926,0.000690844,0.0006127911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234445,"about_ca_system_score_gemma":0.0003234498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003660844,"about_ca_topic_score_gemma":0.0006470528,"domain_scores_codex":[0.9997446,0.00004967166,0.00001002195,0.00005057662,0.0001192869,0.00002581694],"domain_scores_gemma":[0.9995807,0.0001924848,0.00007718342,0.00003952397,0.0000728036,0.00003730688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005004207,0.00002667549,0.001353182,0.0001236684,0.00000782527,0.00007012289,0.00003797326,0.0008946438,0.970501,0.0006989109,0.0004447132,0.02579124],"study_design_scores_gemma":[0.00001648378,0.0002530574,0.01070797,0.00004762251,0.00003531351,0.0009679234,0.00009491572,0.0463985,0.9330209,0.001448961,0.006962558,0.00004588756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.251166,0.00944749,0.7257884,0.001030575,0.0004275356,0.0002136614,0.0003330902,0.001104819,0.01048849],"genre_scores_gemma":[0.6791058,0.006191258,0.3086024,0.0004159039,0.0001693635,0.0001537684,0.0001736837,0.0001647666,0.005023085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002317262,"threshold_uncertainty_score":0.007752001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791710732356475,"score_gpt":0.2821804809043096,"score_spread":0.2642633735807448,"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."}}