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Record W4289665824 · doi:10.5281/zenodo.1407227

Sports Nutrition Market Industry Insights by Type, Distribution Channel, Region, Growth and Demand Forecast to 2022

2018· article· en· W4289665824 on OpenAlexaboutno aff
Rahul Gautam

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsDistribution (mathematics)Channel (broadcasting)Industrial organizationBusinessEngineeringTelecommunicationsMathematics

Abstract

fetched live from OpenAlex

The global sports nutrition market is expected to grow at a CAGR of 8.4% in terms of value during 2016 - 2022. Among the various types, the sports drinks segment accounted for largest share (61.4%) in the global sports nutrition market in 2015.\n\nRequest to Get the Sample Report@ https://www.psmarketresearch.com/market-analysis/sports-nutrition-market/report-sample\n\nThe increasing health concerns, such as obesity and awareness of physical appearances among all consumers groups is driving the demand for sports nutrition products. The emergence of new consumer base, such as recreational and lifestyle users are being increasingly targeted by the sports nutrition manufacturers. The manufacturers are developing innovative products to cater to wide consumer requirements, depending upon their tastes and preferences.\n\nExplore Report With Detailed TOC at@ https://www.psmarketresearch.com/market-analysis/sports-nutrition-market\n\nThe demand for sports nutrition product is being widened by high and growing proportion of obese and overweight population, globally. The obesity epidemic continues to spread in the top 10 countries of the Organization for Economic Co-operation and Development (OECD), with around 18% of all adults in the region being overweight, according to OECD’s 2014 report. Over one out of three adults in the U.S., Mexico, and New Zealand, and more than one out of four in Australia, Canada, Chile, and Hungary are obese. In contrast, obesity rate is only between 2% and 4% of adults in the Asian countries. According to the World Health Organization (WHO), more than half of global obese population lives in 10 countries including the U.S., Egypt, Germany, Mexico, Russia, Brazil, Pakistan, Indonesia, China, and India.\n\nMake Enquiry Before buying the Report@ https://www.psmarketresearch.com/send-enquiry?enquiry-url=sports-nutrition-market\n\nThe key companies operating in global sports nutrition market include Glanbia Plc, PepsiCo. Inc., Abbott laboratories, GNC Holdings, The Coca Cola Company, GlaxoSmithKline, Clif Bar & Company, Universal Nutrition, Creative Edge Nutrition Inc., and Monster Beverage Company.

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)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.009
Science and technology studies0.0000.000
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.021

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 head0.028
GPT teacher head0.220
Teacher spread0.193 · 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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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