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Record W2940348995 · doi:10.1080/15548627.2019.1606638

Autophagy and cancer research in Iran

2019· article· en· W2940348995 on OpenAlexafffundabout
Pooneh Mokarram, Mazaher Ahmadi, Shahla Shojaei, Saeid Ghavami

Bibliographic record

VenueAutophagy · 2019
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsCancerCare ManitobaChildren's Hospital Research Institute of ManitobaUniversity of Manitoba
FundersManitoba Health Research Council
KeywordsAutophagyBiologyCancerCell biologyCancer researchApoptosisBiochemistryGenetics

Abstract

fetched live from OpenAlex

In August 2018, three events were held in Iran on clinical biochemistry, molecular biology, cancer/autophagy, laboratory management, and proteomics. On August 25-28 at the Isfahan University of Medical Sciences, the 15th National Biochemistry Congress and the 6th International Congress on Biochemistry and Molecular Biology were held, gathering together international professors from Canada, USA, Germany, Australia, Italy, France, and Sweden, as well as Iran to discuss mainly the roles of autophagy in cancer therapy. On August 29, a one-day 'Autophagy' symposium was held at the Shiraz University of Medical Sciences. The symposium was a place for specialist talks and discussions on the double-edged role of autophagy in cancer biology, which brought together approximately 200 participants, from basic and clinical fields who are interested in the autophagy field. Furthermore, the opening ceremony for the Autophagy Research Center was held on the same day, and the establishment of the center was announced in Shiraz.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.068
GPT teacher head0.411
Teacher spread0.343 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2019
Admission routes3
Has abstractyes

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