{"id":"W7132910614","doi":"","title":"Pulmonary Microbial Composition and Density as Prognostic Markers in Lung Transplantation","year":2023,"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":"Bronchoalveolar lavage; Lung; Microbiome; Lung transplantation; Gammaproteobacteria; Microbial population biology","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":[0.001060128,0.0002157605,0.0002346861,0.0005743371,0.0001912574,0.0007045188,0.0001553292,0.0002621968,0.003061302],"category_scores_gemma":[0.002725518,0.0001030805,0.0001804721,0.0003786475,0.0002047703,0.0002804596,0.0004350639,0.0003690705,0.0005146796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844876,"about_ca_system_score_gemma":0.0004227258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005826583,"about_ca_topic_score_gemma":0.0007649259,"domain_scores_codex":[0.9998392,0.00005414088,0.0000122482,0.00002542563,0.00004821405,0.00002061719],"domain_scores_gemma":[0.9991356,0.0003467477,0.0002057026,0.00003291024,0.0001152194,0.0001638911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001033492,0.0002047791,0.9222207,0.0001305209,0.00008518415,0.00004969245,0.0001202137,0.0007243374,0.004364081,0.0001305263,0.0009563388,0.06998014],"study_design_scores_gemma":[0.00002189001,0.0004125565,0.9936826,0.00008177746,0.00004860644,0.0001855079,0.0001153677,0.001700078,0.002447543,0.0003940118,0.00090094,0.000009029544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922126,0.003320513,0.0011285,0.0006242889,0.00004326387,0.00003499855,0.0006688201,0.00003279873,0.001934231],"genre_scores_gemma":[0.9958966,0.001112928,0.001356286,0.00007589679,0.00007445097,0.00002612994,0.0005907151,0.000005270498,0.0008618428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003061302,"threshold_uncertainty_score":0.01024103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685216624696113,"score_gpt":0.3482400408208089,"score_spread":0.3313878745738478,"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."}}