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Record W7047561855

Grant opportunities from the Gates Foundation and its partners

2015· other· en· W7047561855 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Nairobi Research Archive (University of Nairobi) · 2015
Typeother
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityGovernment (linguistics)Grand ChallengesFoundation (evidence)International developmentGlobal healthAudit
DOInot available

Abstract

fetched live from OpenAlex

The Bill & Melinda Gates Foundation and its funding partners in the Grand Challenges family of grant programs are inviting innovators to apply for two grant opportunities: \n1) Grand Challenges Explorations, an initiative to encourage innovative and unconventional global health and development solutions, is now accepting grant proposals for its latest application round. Applicants can be at any experience level; in any discipline; and from any organization, including colleges and universities, government laboratories, research institutions, non-profit organizations and for-profit companies. \nProposals are being accepted online until May 6, 2014 on the following topics: \n-New Ways of Working Together: Integrating Community-Based Interventions \n-Explore New Ways to Measure Fetal and Infant Brain Development \n-Innovations in Feedback & Accountability Systems for Agricultural Development \n-Inciting Healthy Behaviors: nudge, leapfrog, disrupt, reach \n-Novel Enabling Tools and Models Supporting the Development of \nInterventions for Severe Diarrhea and Enteric Dysfunction \nInitial grants will be US $100,000 each, and projects showing promise will have the opportunity to receive additional funding of up to US $1 million. \nFull descriptions of the new topics and application instructions are available at: www.grandchallenges.org/explorations. \n \n2) Grand Challenges Canada, through their Stars in Global Health program, is seeking ideas that use scientific, social, or business innovation to address some of the most pressing challenges in global health. Talented innovators in both low- and middle-income countries and Canada are invited to apply. Proposals are being accepted until March 10, 2014. More information, including the request for proposals, application instructions, and frequently asked questions can be found at: \nhttp://response.notifications.gatesfoundation.org/t?ctl=4AE0DD6:EC1D4E0B6B7E6EEAB093215083D2608C5F7B25B3BA82FABC& \n \n3) In addition there is also a Biostatistics Course opportunity from KwaZulu-Natal Research Institute for TB and HIV. Deadline for applications is March 31, 2014. For more information and to apply please visit www.k-rith.org. \nWe are looking forward to receiving innovative ideas from around the world and from all disciplines. If you have a great idea, please apply. If you know someone else who may have a great idea, please forward this message. \nThank you for your commitment to solving the world's greatest health and development challenges. \nThe Grand Challenges Team

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)0.009
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.341
Threshold uncertainty score0.940

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0070.004
Open science0.0030.010
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.3410.112

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 head0.103
GPT teacher head0.287
Teacher spread0.184 · 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.

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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