{"id":"W3011183633","doi":"10.1097/tp.0000000000003213","title":"The Impact of Inadequate (“AX”) Transbronchial Biopsies on Post–lung Transplant CLAD or Death","year":2020,"lang":"en","type":"article","venue":"Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Interquartile range; Hazard ratio; Confidence interval; Lung transplantation; Proportional hazards model; Biopsy; Retrospective cohort study; Internal medicine; Gastroenterology; Transplantation; Cohort; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002320518,0.0003129872,0.0004922432,0.00009892043,0.0001818175,0.00002794499,0.00015809,0.0001317989,0.0001242321],"category_scores_gemma":[0.00002942588,0.0001678229,0.0003939308,0.0002776012,0.00009470262,0.000136498,0.000001655313,0.0002863214,0.00001663893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004379943,"about_ca_system_score_gemma":0.0002132785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003259316,"about_ca_topic_score_gemma":0.0001018472,"domain_scores_codex":[0.9981865,0.000160111,0.0005776645,0.0003062714,0.000425793,0.0003436424],"domain_scores_gemma":[0.9987302,0.0006422576,0.0001257758,0.0001943017,0.00009277774,0.0002146242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1952891,0.001071718,0.4138944,0.006007734,0.003500113,0.001488443,0.08240404,0.0045077,0.2319067,0.01062144,0.0003121024,0.04899652],"study_design_scores_gemma":[0.007929245,0.003421595,0.9573715,0.0003719784,0.001093417,0.0002059089,0.0002703818,0.001919398,0.02693845,0.00008235685,0.00006495509,0.0003308032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822356,0.0001435986,0.01190114,0.00341939,0.0001271163,0.0007282911,0.000630966,0.0001134805,0.0007004638],"genre_scores_gemma":[0.9957773,0.00167988,0.001472958,0.0005084839,0.0001092104,0.00002455773,0.0003252605,0.0000384962,0.00006381797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5434771,"threshold_uncertainty_score":0.6843618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326741439307978,"score_gpt":0.3654996318523644,"score_spread":0.3122322174592846,"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."}}