{"id":"W2621460803","doi":"10.1038/nbt.3889","title":"The promise of organ and tissue preservation to transform medicine","year":2017,"lang":"en","type":"review","venue":"Nature Biotechnology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":531,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Carleton University; University of Alberta","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; U.S. Military Academy; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; Defense Advanced Research Projects Agency; National Science Foundation; National Institutes of Health; Virginia Commonwealth University","keywords":"Biomedicine; Regenerative medicine; Stakeholder; Business; Variety (cybernetics); Medical research; Engineering ethics; Medicine; Public relations; Political science; Computer science; Engineering; Biology; Bioinformatics; Pathology","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003601791,0.0003146527,0.001541561,0.00033003,0.0001315452,0.000005753665,0.0003400377,0.001945026,0.00001132755],"category_scores_gemma":[0.001300762,0.000151238,0.00006953305,0.0002998411,0.0005021885,0.00002067421,0.00006809091,0.001532951,0.000004281562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000492039,"about_ca_system_score_gemma":0.0001178203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001338503,"about_ca_topic_score_gemma":0.00001759982,"domain_scores_codex":[0.9987413,0.00002856394,0.0004408737,0.0003486224,0.0002146399,0.0002260249],"domain_scores_gemma":[0.998618,0.0001183002,0.0002247604,0.0008300648,0.0001053628,0.0001035212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001430754,0.00001177401,6.717277e-7,0.005366539,0.0001303069,0.0000167751,0.00005727277,3.163818e-8,0.0004633981,0.003566086,0.002809308,0.9875636],"study_design_scores_gemma":[0.0004212981,0.0007567094,0.00001172266,0.009414352,0.0005581374,0.0002323806,0.00001390791,0.000001783245,0.001167925,0.00003998532,0.9872577,0.0001240925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001801961,0.9714919,0.0002008734,0.02585366,0.000562771,0.001568373,0.00001153454,0.00009285545,0.0002000582],"genre_scores_gemma":[0.000173352,0.9904782,0.0004229574,0.00002260076,0.0005002266,0.0000672056,0.0000437801,0.0000438114,0.008247834],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9874395,"threshold_uncertainty_score":0.9993507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04880388258362783,"score_gpt":0.4080518060543931,"score_spread":0.3592479234707653,"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."}}