{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009293699,0.000951358,0.001155338,0.002024862,0.000380253,0.00176724,0.0009620187,0.00165937,0.005493225],"category_scores_gemma":[0.001220488,0.0002761353,0.0003929772,0.001982089,0.001144376,0.002811554,0.001548955,0.003127453,0.002206169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008366131,"about_ca_system_score_gemma":0.001549492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008741615,"about_ca_topic_score_gemma":0.002281041,"domain_scores_codex":[0.9997395,0.00004529755,0.00002714008,0.00003542077,0.0001220324,0.00003060505],"domain_scores_gemma":[0.999421,0.0003484218,0.00004999261,0.0000164638,0.0001086784,0.00005546871],"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":[0.00005553717,0.0000522411,0.0001024527,0.01400175,0.00004471419,0.0002153307,0.00009513998,0.0003444932,0.002294284,0.01664995,0.05642244,0.9097216],"study_design_scores_gemma":[0.00000559819,0.00001742014,0.0001070964,0.001429166,0.00002137466,0.0003190845,0.00004064438,0.00004120985,0.0002113449,0.003007271,0.9947914,0.000008340118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006247666,0.9966068,0.000214069,0.0006623186,0.0006549108,0.000003303049,0.00001527288,0.000008434051,0.001772342],"genre_scores_gemma":[0.0004637997,0.9976736,0.0002056854,0.000441727,0.0003722214,0.000003889982,0.00002107261,0.000002313704,0.0008156638],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005493225,"threshold_uncertainty_score":0.01837665,"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."}}