{"id":"W4220770654","doi":"10.1016/j.jtcvs.2022.02.048","title":"Near-infrared fluorescence imaging during ex vivo lung perfusion: Noninvasive real-time evaluation of regional lung perfusion and edema","year":2022,"lang":"en","type":"article","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Ontario Ministry of Research and Innovation; Sigrid Juséliuksen Säätiö; Canadian Institutes of Health Research; Government of Ontario; Ontario Research Foundation","keywords":"Medicine; Perfusion; Lung; Indocyanine green; Transplantation; Lung transplantation; Edema; Perfusion scanning; Pulmonary edema; Pathology; Radiology; Nuclear medicine; Surgery; Internal medicine","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":[0.0006263073,0.0003283084,0.0003300892,0.0002038545,0.0002072857,0.0005819649,0.0003039151,0.0006571343,0.0009449589],"category_scores_gemma":[0.000635378,0.0002105774,0.0001554779,0.0001810604,0.0003976831,0.0009624033,0.0002605029,0.0006794647,0.000183012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078811,"about_ca_system_score_gemma":0.0003151565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00051453,"about_ca_topic_score_gemma":0.000843934,"domain_scores_codex":[0.9997885,0.00007894365,0.000007593895,0.00004872388,0.00004430571,0.00003186103],"domain_scores_gemma":[0.9997661,0.0001067987,0.00004374686,0.00001946915,0.00003355196,0.00003031109],"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":[0.00157993,0.0001240129,0.003755385,0.0001221424,0.00001851857,0.0001320887,0.00008518736,0.0003119569,0.9772764,0.0001906914,0.0002594336,0.01614422],"study_design_scores_gemma":[0.0001073844,0.002021226,0.05733059,0.00005101597,0.0001555142,0.002248447,0.0002573869,0.02396143,0.9110512,0.0004468078,0.002298276,0.00007077512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099711,0.004814657,0.08206321,0.0003460084,0.00008368163,0.0001305236,0.0002277926,0.0002507385,0.002112356],"genre_scores_gemma":[0.9651216,0.001673189,0.0307844,0.0002055953,0.00006886382,0.0001578485,0.0001189691,0.00005987936,0.00180965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009449589,"threshold_uncertainty_score":0.00331229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157249302251481,"score_gpt":0.3044567347714862,"score_spread":0.2828842417489714,"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."}}