{"id":"W7117535633","doi":"10.1016/j.healun.2025.12.018","title":"Radiologist- and computer-based chest imaging quantification at 12 months post transplant correlates with baseline lung allograft dysfunction","year":2025,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto General Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Lung Health Foundation","keywords":"Lung; Baseline (sea); Computed tomography; Transplantation","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":[0.0007432739,0.0002816186,0.0002989986,0.0007020684,0.0001964417,0.001272126,0.0003541601,0.000676991,0.001755459],"category_scores_gemma":[0.003983229,0.0001364486,0.0003190016,0.0005399014,0.000311257,0.0007392358,0.0003843912,0.0006378453,0.0003626485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003445161,"about_ca_system_score_gemma":0.0003277261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438579,"about_ca_topic_score_gemma":0.00283543,"domain_scores_codex":[0.9995023,0.0001469499,0.00004806423,0.000107323,0.0000990839,0.00009624813],"domain_scores_gemma":[0.9958801,0.0009322389,0.002248192,0.0001772176,0.0003461606,0.000416122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000140948,0.00005138576,0.9975547,0.000004586554,0.00002904304,0.00002674692,0.00002378376,0.00007678488,0.0003612733,0.00001057918,0.00004753902,0.00167272],"study_design_scores_gemma":[0.000001702524,0.00009274188,0.999182,0.000003667162,0.00001808851,0.0001059372,0.00005478361,0.0002857891,0.0001705887,0.00001581639,0.00006514722,0.000003659871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980513,0.0003473565,0.0002550806,0.00009001982,0.00001095688,0.000005052436,0.0002212964,0.00001812905,0.001000815],"genre_scores_gemma":[0.9994738,0.00005621267,0.00008938323,0.0000143246,0.00001228557,0.000002484897,0.0001647124,0.000002383853,0.0001843981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002438579,"threshold_uncertainty_score":0.005872548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104831540846581,"score_gpt":0.2740034601717929,"score_spread":0.2629551447633272,"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."}}