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Record W3081528063

Young Scientist Awards for Pharma Formulations 2020 October 30-31, 2020 | Vancouver, Canada

2020· article· en· W3081528063 on OpenAlexaboutno aff
Bodhisattwa Chaudhuri

Bibliographic record

VenueJournal of Pharmaceutics & Drug Delivery Research · 2020
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
Fundersnot available
KeywordsGlobeTurning pointPolitical scienceOperations researchPublic relationsManagementBusinessMedicineEngineeringEconomics
DOInot available

Abstract

fetched live from OpenAlex

Pharma Formulations 2020 invites scholars, researchers, academicians, students and corporate entities across the globe to join at 17th International Conference on Pharmaceutical Formulations& Drug Delivery October 30-31, 2020 at Vancouver, Canada. Pharma Formulations and Drug Delivery, as the world's thought turned with respect to the criticalness of new Drug Delivery framework as the Formulations is developing step by step. Many created countries and International Drug associations are attempting to focal point of the present circumstance and making new arrangements to avert the unfriendly impacts of Pharma Formulations.

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)0.004
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.761
Threshold uncertainty score0.913

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.001
Scholarly communication0.0080.001
Open science0.0020.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.2730.130

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 head0.145
GPT teacher head0.459
Teacher spread0.314 · 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
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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