{"id":"W7019184959","doi":"","title":"Ex-vivo mRNA therapy to predict kidney vitality during transplantation","year":2022,"lang":"en","type":"article","venue":"","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"iNano Medical (Canada)","funders":"","keywords":"Kidney; Transplantation; Messenger RNA; In vitro; Kidney transplantation; Perfusion; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005050956,0.0003423104,0.0003280863,0.0002650637,0.00008807149,0.000451365,0.0001893516,0.0004431988,0.001534759],"category_scores_gemma":[0.0004527353,0.0001416933,0.0001965116,0.0001458768,0.0002355107,0.0003899941,0.0001760718,0.0004175705,0.0004679713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243168,"about_ca_system_score_gemma":0.0002299299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003426261,"about_ca_topic_score_gemma":0.0005809175,"domain_scores_codex":[0.999822,0.00004180935,0.00001403058,0.00004365499,0.00006069288,0.00001786869],"domain_scores_gemma":[0.9997638,0.00006927564,0.00007540037,0.00001797541,0.00005848596,0.00001503682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002380148,0.00004239596,0.002398852,0.0001678026,0.00001187945,0.00008272238,0.00002718434,0.0006758939,0.9843343,0.0002033487,0.0002926555,0.01152503],"study_design_scores_gemma":[0.00001394689,0.0004753585,0.009604754,0.00002802932,0.00004583423,0.0002937214,0.00004324056,0.01199529,0.9741923,0.0001881508,0.003093916,0.00002551838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512458,0.01423375,0.1253294,0.0006915212,0.0003689806,0.0001357886,0.0009623838,0.0009822284,0.006049981],"genre_scores_gemma":[0.9588556,0.004820711,0.03118183,0.0002495561,0.00006811524,0.0001297799,0.0003965085,0.00008495896,0.004212887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001534759,"threshold_uncertainty_score":0.005134284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016296618203958,"score_gpt":0.2861805636665131,"score_spread":0.2660175974844735,"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."}}