{"id":"W7133104839","doi":"","title":"Endothelin-1 as a Biomarker in Human Ex Vivo Lung Perfusate to Predict Donor Lung Suitability","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lung; Ex vivo; Biomarker; Lung transplantation; Transplantation; Human lung","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00138347,0.0003217254,0.0003193862,0.0003950429,0.0001198636,0.0009474804,0.0001868111,0.0004192079,0.001381781],"category_scores_gemma":[0.001139876,0.0001054613,0.0002490323,0.0003699418,0.0001861203,0.0004528469,0.0002775426,0.0006813945,0.0003763316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945757,"about_ca_system_score_gemma":0.0003463918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003188316,"about_ca_topic_score_gemma":0.000332293,"domain_scores_codex":[0.9997218,0.0001083225,0.00002104456,0.00006303596,0.00006368073,0.00002201163],"domain_scores_gemma":[0.9996802,0.0001490273,0.00006314536,0.00002386944,0.00005168408,0.00003213106],"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":[0.002033697,0.0008098598,0.06101521,0.0003980862,0.0001320138,0.0002974337,0.0002182454,0.01525029,0.7826824,0.001376423,0.001262225,0.1345242],"study_design_scores_gemma":[0.0001183879,0.004038447,0.1520114,0.0001362765,0.0002719678,0.0009496105,0.0002582093,0.167506,0.6624134,0.003416689,0.00876749,0.0001121164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923329,0.008394375,0.09334942,0.0007205785,0.0002288879,0.0002337237,0.001386022,0.0002434246,0.003110719],"genre_scores_gemma":[0.9580067,0.003729343,0.03346112,0.000246307,0.00007965585,0.0002005034,0.001139972,0.00003732835,0.003098975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00138347,"threshold_uncertainty_score":0.007316589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773303621190827,"score_gpt":0.4054807180990262,"score_spread":0.377747681887118,"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."}}