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MEMOTE for standardized genome-scale metabolic model testing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
Bibliographic record
VenueNature Biotechnology · 2020
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsUniversity of Toronto
FundersArgonne National LaboratoryCentro Nacional de BiotecnologíaBiological and Environmental ResearchNational Institute of General Medical SciencesNational Cancer InstituteInstituto de Tecnologia Química e Biológica, Universidade Nova de LisboaMax Planck Institute for Dynamics of Complex Technical Systems MagdeburgBiotechnology and Biological Sciences Research CouncilDirectorate for Biological SciencesNational Institutes of HealthAdvanced Scientific Computing ResearchGerman Network for Bioinformatics InfrastructureNovo Nordisk FondenUniversity of California, San DiegoNorges Miljø- og Biovitenskapelige UniversitetEli Lilly and CompanyDanmarks Tekniske UniversitetRWTH Aachen UniversityKorea Advanced Institute of Science and TechnologyHumboldt-Universität zu BerlinKnut och Alice Wallenbergs StiftelseUniversidad Politécnica de MadridRural Development AdministrationU.S. National Library of MedicineChalmers Tekniska HögskolaHanzehogeschool GroningenSungkyunkwan UniversityUniversiteit LeidenSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungEberhard Karls Universität TübingenSchool of Medicine, University of California, San DiegoUniversidade Nova de LisboaNorges ForskningsrådKungliga Tekniska HögskolanNational Center for Complementary and Integrative HealthVrije Universiteit AmsterdamUniversity of TorontoChinese Academy of SciencesOxford Brookes UniversityDeutsche ForschungsgemeinschaftNational Research FoundationInnovationsfondenBundesministerium für Bildung und ForschungWellcome TrustMinistry of Science and ICT, South KoreaCoordinación de la Investigación CientíficaEuropean Molecular Biology LaboratoryNovo NordiskConsejo Superior de Investigaciones CientíficasAgency for Science, Technology and ResearchDeutsches Zentrum für InfektionsforschungWageningen University and ResearchCommonwealth Scientific and Industrial Research OrganisationUniversity of Arkansas for Medical SciencesBill and Melinda Gates FoundationInstituto Nacional de Investigación y Tecnología Agraria y AlimentariaUniversidade do MinhoW. M. Keck FoundationKing's College LondonEuropean Bioinformatics InstituteWashington Research FoundationEuropean CommissionU.S. Department of EnergyUniversity of QueenslandScience for Life LaboratoryNational Science Foundation
KeywordsEuropean unionExcellencePolitical scienceLibrary scienceEuropean commissionBasic researchResearch councilPublic administrationManagementBusinessEconomicsInternational tradeComputer scienceGovernment (linguistics)LawPhilosophy
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.346
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.010
GPT teacher head0.230
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itQuick stats
Citations549
Published2020
Admission routes2
Has abstractno