MétaCan
Menu
Back to cohort
Record W1536779018 · doi:10.3305/nh.2014.29.4.7393

Chinchón declaration; decalogue on low- and no-calorie sweeteners (LNCS).

2014· article· en· W1536779018 on OpenAlexaff
Lluís Serra‐Majem, Pilar Riobó Serván, Susana Belmonte Cortés, Arturo Anadón Navarro, Javier Aranceta Bartrina, Eladia Franco Vargas, Reina García-Closas, Carmen Gómez‐Candela, Elvira Herrero Sancho, Carlo La Vecchia, M Luisa López Díaz-Ufano, Gregorio Varela‐Moreiras, Jesús Vázquez Castro, Lourdes Ribas‐Barba, Francisca Alcaraz-Cebrián, Pedro Pablo García‐Luna, Mercedes González-Gomis, Marcela González‐Gross, Susana Granado de la Orden, Ana M. López‐Sobaler, José Manuel Moreno Villares, Rosa María Ortega Anta, Carmen Pérez‐Rodrigo, Isabel Polanco Allué

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsCollege of Pharmacists of British Columbia
FundersInstituto de Salud Carlos IIIInternational Sweeteners Association
KeywordsLow calorieDeclarationFood scienceCalorieChemistryMedicineEndocrinologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Multidisciplinary experts in the areas of nutrition and health met in Chinchón, Madrid, on November 25-26, 2013 under the auspices of the Fundación para la Investigación Nutricional (Nutrition Research Foundation) and with the collaboration of the Madrid Regional Government's Health Ministry, the International Sweeteners Association and the Carlos III Health Institute CIBER of Physiopathology of Obesity and Nutrition. They analyzed the current status of scientific knowledge on low- and no-calorie sweeteners (LNCS) and developed a consensus Decalogue on their use; this constitutes the Chinchón Declaration. Sweeteners, including sugar, represent a subject of undeniable interest and are currently a popular topic, although areas relating to their safety and benefits remain unknown to segments of academia and the general public. The nature of LNCS makes them vulnerable to biased and even contradictory information. They are food additives that are broadly used as sugar substitutes to sweeten foods, medicines and food supplements when non-nutritional or non-caloric alternatives are needed. The Chinchón Decalogue is the outcome of a meeting for reflection and consensus by a group of experts with backgrounds in different scientific disciplines (toxicology, clinical nutrition, community nutrition, physiology, food science, public health, pediatrics, endocrinology and nutrition, nursing, pharmaceutical care and food legislation). The Decalogue includes different aspects of LNCS related to regulation, use, benefits and safety. In general, benefits of LNCS have been traditionally neglected in comparison with the tendency for emphasising unexisting or unproven possible risks. The need to strengthen research on LNCS in Spain was emphasized, as well as the need to educate both professionals and the public.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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

Citations14
Published2014
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicBiochemical Analysis and Sensing TechniquesFrench-language works237,207