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Record W4394966248 · doi:10.3389/978-2-8325-4815-8

Developing Strategies to Improve Diabetes Management in College-Going Young Adults

2024· book· en· W4394966248 on OpenAlexaff
Mridusmita Saikia, Zohra S Lassi, Anthony L. McCall, Francisco Alejandro Lagunas‐Rangel, Daniil S. Koshelev, Andrej Nedorubov, Liudmila Kosheleva, В. М. Трухан, Alexander Rabinovitch, Helgi B. Schiöth, Shmuel Levit, Paul Dupenloup, Ryan Pei, Annie Chang, Michael C. Gao, Priya Prahalad, Ramesh Johari, Kevin A. Schulman, Ananta Addala, Dessi P. Zaharieva, David M. Maahs, David Scheinker, Xiangqian Li, Lina Wang, Gang Meng, Xiaoling Chen, Shushu Yang, Mengjun Zhang, Zhengni Zheng, Jie Zhou, Zhu Lan, Yuzhang Wu, Guotai Sheng, Jiajun Qiu, Maobin Kuang, Nan Peng, Guobo Xie, Yuanqin Chen, Shuhua Zhang, Yang Zou, Emilie Bundgaard Lindkvist, Christian Laugesen, Asbjørn Thode Reenberg, Tobias Kasper, Skov Ritschel, Jannet Svensson, John Alexander Jorgensen, Kirsten Nørgaard, Ajenthen G. Ranjan, Wenping Liu, Ting Chen, Bingjin Liang, Yanran Wang, Haoyu Jin, Zhichao Chen, Jing Wang, Ciriaco Carru, Donatella Coradduzza, Zhi Li, Jing Liu, Xu Wang, Qiyao Li, Chengyu Piao, Zuowang Fan, Yao Zhang, Saisai Yang, Xiuhong Wu, Eulalia Catamo, Antonietta Robino, Klemen Dovč, Davide Tinti, Gianluca Tamaro, Riccardo Bonfanti, Roberto Franceschi, Ivana Rabbone, Tadej Battelino, Gianluca Tornese, Margaret West, Aniket Sidhaye, Meredith Thivierge, Risa M. Wolf, Sally Radovick, Habib Yaribeygi, Gian Sorice, Laura Marroquí, Miguel Herna ́ndez

Bibliographic record

VenueFrontiers research topics · 2024
Typebook
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsKelowna General Hospital
FundersStanford Maternal and Child Health Research InstituteShantou University Medical CollegeShantou UniversityNatural Science Foundation of Jiangxi ProvinceVetenskapsrådetNational Natural Science Foundation of ChinaStanford Diabetes Research CenterUniversità degli Studi di SassariBasic and Applied Basic Research Foundation of Guangdong ProvinceSteno Diabetes Center CopenhagenDanmarks Tekniske UniversitetNovo NordiskInternational Society for Pediatric and Adolescent DiabetesLeona M. and Harry B. Helmsley Charitable Trust
KeywordsDiabetes managementDiabetes mellitusBusinessGerontologyMedicineType 2 diabetes

Abstract

fetched live from OpenAlex

it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals.

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)0.002
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 score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.006

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 head0.037
GPT teacher head0.347
Teacher spread0.310 · 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
Published2024
Admission routes1
Has abstractyes

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