{"id":"W4306408046","doi":"10.32920/21290937.v1","title":"Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Renal and Vascular Pathologies","field":"Medicine","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; Pathology; Renal function; Population; Nephrogenic systemic fibrosis; 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":[0.0007929157,0.0002377818,0.0007269225,0.0001287022,0.00008391008,0.00003575203,0.0001866126,0.0001259798,0.0006115065],"category_scores_gemma":[0.0008645333,0.0001862275,0.0004804279,0.00009406035,0.00007514317,0.0000416378,0.0002896057,0.0004558541,0.000001040932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000854273,"about_ca_system_score_gemma":0.00059272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002563169,"about_ca_topic_score_gemma":0.000001724244,"domain_scores_codex":[0.9982752,0.0001116111,0.0005324146,0.0004758962,0.0003648147,0.0002401106],"domain_scores_gemma":[0.9986856,0.000198707,0.0002412836,0.0005658642,0.0001469724,0.0001615682],"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":[0.0009629499,0.0009179584,0.170065,0.0569795,0.001215445,0.0001584972,0.002383899,0.0007917036,0.7489899,0.0004338017,0.009554454,0.007546853],"study_design_scores_gemma":[0.01193963,0.0009323306,0.2896433,0.01173468,0.008218092,0.0005231571,0.008793826,0.02297186,0.6254295,0.007004594,0.009579938,0.003229158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.753498,0.001380341,0.2252468,0.002128863,0.001352769,0.003118728,0.001711934,0.0004525057,0.0111101],"genre_scores_gemma":[0.9633332,0.0001513148,0.03344408,0.0006315423,0.0001177615,0.0001966522,0.0009954289,0.0000486743,0.001081375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2098352,"threshold_uncertainty_score":0.7594135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05377512925393514,"score_gpt":0.3660842080828253,"score_spread":0.3123090788288902,"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."}}