{"id":"W2158646788","doi":"10.1111/ajt.13124","title":"Lung Transplantation With Donation After Circulatory Determination of Death Donors and the Impact of Ex Vivo Lung Perfusion","year":2015,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"American Society of Transplantation","keywords":"Medicine; Lung transplantation; Transplantation; Context (archaeology); Mechanical ventilation; Donation; Organ donation; Extracorporeal; Lung; Extracorporeal membrane oxygenation; Ex vivo; Surgery; Anesthesia; Internal medicine; In vivo","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":[0.000855439,0.0001738646,0.0005209505,0.0002636031,0.00004258716,0.00001592479,0.00006984535,0.00005083706,0.00001377843],"category_scores_gemma":[0.000023197,0.0001026883,0.0001853558,0.0002745316,0.0003241044,0.0003493776,0.000001878254,0.0001600016,1.542043e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008368887,"about_ca_system_score_gemma":0.0002472415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004702368,"about_ca_topic_score_gemma":0.00003985014,"domain_scores_codex":[0.9982702,0.0002759347,0.0006594894,0.0001353154,0.0005276523,0.0001313809],"domain_scores_gemma":[0.998197,0.0002937497,0.0007883542,0.0001126047,0.0004844757,0.0001237922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03427282,0.0001494939,0.8916876,0.0008386491,0.0003126096,0.0001114548,0.03342029,0.001258592,0.01335254,0.0001314863,0.00000487804,0.02445965],"study_design_scores_gemma":[0.00975319,0.001641405,0.9717007,0.0006704582,0.001848923,0.001938019,0.000846296,0.004811319,0.00656349,0.00008245635,0.000001411033,0.0001423298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669882,0.0002729285,0.132131,0.0001482361,0.00005359117,0.0002812185,0.00003360015,0.000006671701,0.00008446939],"genre_scores_gemma":[0.981043,0.001693875,0.01712047,0.00003855928,0.0000456928,0.000005871302,0.00002846532,0.0000187266,0.000005339563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1150106,"threshold_uncertainty_score":0.4187509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228707419711016,"score_gpt":0.3086949785999386,"score_spread":0.2964079044028284,"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."}}