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Record W4367040782 · doi:10.1038/s41418-023-01153-w

Apoptotic cell death in disease—Current understanding of the NCCD 2023

2023· review· en· W4367040782 on OpenAlex

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

VenueCell Death and Differentiation · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsMemorial University of NewfoundlandUniversity of British ColumbiaSunnybrook HospitalUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of Allergy and Infectious DiseasesNational Institute of General Medical SciencesOffice of Defense ProgramsBeatson Institute for Cancer ResearchUniversitätsmedizin der Johannes Gutenberg-Universität MainzCambridge Institute for Medical Research, University of CambridgeBiotechnology and Biological Sciences Research CouncilMedical Research CouncilUniversity of Texas MD Anderson Cancer CenterLabEx DEvweCANUniversité de ParisCentre Léon BérardRede de Química e TecnologiaCancer Center AmsterdamNational University Health SystemSouthern Medical UniversityNovo Nordisk FondenAmsterdam University Medical CentersKarolinska InstitutetAssociazione Italiana per la Ricerca sul CancroUniversität StuttgartKarl-Franzens-Universität GrazUniversité de LyonJulius-Maximilians-Universität WürzburgSorbonne UniversitéUK Dementia Research InstituteSoochow UniversityStony Brook UniversityUniversité de GenèveUniversidad de OviedoThomas Jefferson UniversityUniversità degli Studi dell'AquilaMedizinische Universität GrazPeking Union Medical CollegeUniversity of BernUniversidad de ChileLeukemia and Lymphoma SocietyUniversidade de LisboaUniversità Cattolica del Sacro CuoreBoard of the Swiss Federal Institutes of TechnologyCentre National de la Recherche ScientifiqueOncode InstituteUniversità degli Studi dell'InsubriaUniversity of TokyoConsejo Nacional de Investigaciones Científicas y TécnicasUniversiteit GentWeill Cornell Medical CollegeYork UniversityState Key Laboratory of Radiation Medicine and ProtectionCity University of New YorkRoyal College of Surgeons in IrelandLigue Contre le CancerUniversity of LeicesterInstitut Gustave-RoussyYale UniversityCompagnia di San PaoloTechnische Universität DresdenUniversiteit van AmsterdamÖsterreichischen Akademie der WissenschaftenInstitut Universitaire de FranceUniversity of South AustraliaDirectorate for Biological SciencesNational Center for Advancing Translational SciencesUniversity of AdelaideUniversitat Pompeu FabraInstitut National de la Santé et de la Recherche MédicaleJohns Hopkins UniversityAgence Nationale de la RechercheFaculty of Health and Medical Sciences, University of Western AustraliaU.S. Department of DefenseCancer Research UKLa Trobe UniversityNational University of SingaporeUniversity of QueenslandChinese Academy of SciencesUniversità degli Studi di Roma Tor VergataSt. John's UniversityUniversity of SouthamptonStand Up To CancerUniversidade do PortoNorthwestern UniversityUniversity of GlasgowChinese Academy of Medical SciencesSanofiUniversità degli Studi di MilanoBuck Institute for Research on AgingUniversity of WashingtonQueens College, City University of New YorkDipartimento di Medicina e Chirurgia, Università degli Studi di Milano-BicoccaNYU Grossman School of MedicineNational Institute on AgingUniversity of BathUniversität zu KölnUniversità degli Studi di PadovaUniversity of California, San DiegoPeter MacCallum Cancer CentreJohns Hopkins Bloomberg School of Public HealthLaboratório Associado para a Química VerdeNational Cancer InstituteKU LeuvenUniversity of South CarolinaUniversity of MichiganSt. Jude Children's Research HospitalNational Natural Science Foundation of ChinaCincinnati Children's Hospital Medical CenterCancer Research InstituteNational Institutes of Health
KeywordsApoptosisProteasesProgrammed cell deathContext (archaeology)BiologyHomeostasisCarcinogenesisDiseaseCaspaseCell biologyCellEmbryonic stem cellImmunologyNeurosciencePathologyMedicineCancerGeneticsGeneBiochemistry

Abstract

fetched live from OpenAlex
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 imitation

Not 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.810
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.290
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it