{"id":"W3118702124","doi":"10.1007/s42247-020-00143-9","title":"An overview of the use of biomaterials, nanotechnology, and stem cells for detection and treatment of COVID-19: towards a framework to address future global pandemics","year":2021,"lang":"en","type":"review","venue":"Emergent Materials","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Alberta","funders":"Engineering and Physical Sciences Research Council","keywords":"Pandemic; Nanomedicine; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nanotechnology; 2019-20 coronavirus outbreak; Medicine; Outbreak; Disease; Engineering; Engineering ethics; Infectious disease (medical specialty); Virology; Materials science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003160731,0.0003463135,0.002056848,0.0001147662,0.00005888665,0.00002092689,0.0001040449,0.0005868414,0.00002702377],"category_scores_gemma":[0.000254666,0.0002260084,0.0002324719,0.0003583634,0.00008499181,0.00003311526,0.0001011381,0.00003808942,2.58682e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531747,"about_ca_system_score_gemma":0.0002489487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003281601,"about_ca_topic_score_gemma":0.00005277729,"domain_scores_codex":[0.9979178,0.0002981073,0.001024201,0.000401712,0.0001622345,0.0001959358],"domain_scores_gemma":[0.99831,0.00009925071,0.0008353504,0.0005270091,0.0001336003,0.00009474842],"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":[0.0002047051,0.0002006993,0.00002622078,0.03328063,0.0005358307,0.000003708122,0.0001725253,5.972174e-7,0.5332914,0.0001853957,0.00003781838,0.4320605],"study_design_scores_gemma":[0.0004156369,0.0006164121,0.00001073241,0.004735437,0.001207264,0.00007671944,0.00006976631,0.000001195368,0.5850777,0.00002780175,0.407616,0.0001453189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3513086,0.6425261,0.0002150003,0.00005265638,0.00183222,0.002277213,0.001746656,0.00004120605,3.421428e-7],"genre_scores_gemma":[0.005778347,0.9922845,0.00128357,0.0001140488,0.0002397056,0.0002231515,0.00002998739,0.00004055009,0.000006159098],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4319152,"threshold_uncertainty_score":0.9216356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2528336890296928,"score_gpt":0.4261108744870957,"score_spread":0.1732771854574028,"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."}}