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Exploring the role of phytochemicals as biopharmaceuticals targeting Acute Respiratory Distress Syndrome (ARDS) virus: an Overview

2021· article· en· W3162508527 on OpenAlexvenueno aff
S Bandyopadhyay, Kuntal Pal, Srijan Haldar, Joydeep Paul

Bibliographic record

VenueDiscovery Phytomedicine - Journal of Natural Products Research and Ethnopharmacology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMedicinal Plants and Bioactive Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsARDSAcute respiratory distressIntensive care medicineMedicineCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakPandemicRespiratory distressBioinformaticsVirologyBiologyLungAnesthesiaInternal medicineDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Discovery Phytomedicine is a peer reviewed, open-access journal dedicated to attract and disseminate novel and experimental innovations with a focus on pharmacology, toxicology and clinical studies of natural products.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.148
GPT teacher head0.431
Teacher spread0.283 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueDiscovery Phytomedicine - Journal of Natural Products Research and EthnopharmacologySame topicMedicinal Plants and Bioactive CompoundsFrench-language works237,207