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Record W2546005526 · doi:10.13039/501100004837

Caracterización de la disintegrina antiangiogénica jerdostatina. Generación de un modelo transgénico animal

2016· article· es· W2546005526 on OpenAlexfundno aff
Gema Bolás

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2016
Typearticle
Languagees
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsnot available
FundersKey Research and Development Projects of Shaanxi ProvinceAgencia Estatal de InvestigaciónInstituto de Salud Carlos IIIEuropean Social FundConsejo Superior de Investigaciones CientíficasAgència de Gestió d'Ajuts Universitaris i de RecercaFundação para a Ciência e a TecnologiaAsociación de Amigos de la Universidad de NavarraLeibniz-GemeinschaftCanadian Institutes of Health ResearchJohnson Space CenterCenters for Disease Control and PreventionMax-Planck-Institut für AstronomieUniversidade de Santiago de CompostelaUniversidade da CoruñaInstituto DanoneConsejería de Educación e InvestigaciónMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de EspañaUniversidad Industrial de SantanderHenan Institute of Science and TechnologyFundación Para La Innovación Y La Prospectiva En Salud En EspañaKlaus Tschira StiftungInstituto de Astrofísica de CanariasUniversidad de GranadaHorizon 2020 Framework ProgrammeCYTED Ciencia y Tecnología para el DesarrolloMinistério da EducaçãoEuropean Regional Development FundMax-Planck-GesellschaftUniversitat de BarcelonaMinisterio de Medio Ambiente y Medio Rural y MarinoNational Science FoundationUniversidad Autónoma de MadridNarodowym Centrum NaukiGrifolsUniversité de LausanneScience and Technology Facilities CouncilU.S. Department of AgricultureUniversidad de NavarraGobierno de AragónPrinceton UniversityUniversidad Politécnica de MadridEngineering and Physical Sciences Research CouncilEuropean CommissionMinistério da Educação e CiênciaFP7 Food, Agriculture and Fisheries, BiotechnologyChina Scholarship CouncilMinisterio de Economía y CompetitividadMinisterio de Educación, Cultura y DeporteEusko JaurlaritzaMinisterstvo Školství, Mládeže a TělovýchovyInstituto de Astrofísica de AndalucíaDeutsche ForschungsgemeinschaftUniversity of BathUniversity of CambridgeJunta de Comunidades de Castilla-La ManchaCentres de Recerca de CatalunyaEuropean Food Safety AuthorityMinisterio de Ciencia, Innovación y UniversidadesXunta de GaliciaFundación Ramón ArecesStrongUniversità degli Studi di SienaSpace Telescope Science InstituteUniversidad de CádizCalifornia Institute of TechnologyAgencia Española de Cooperación Internacional para el DesarrolloFonds Wetenschappelijk OnderzoekComunidad de MadridSmithsonian InstitutionUniversitat de GironaMinisterio de Ciencia e InnovaciónJohns Hopkins UniversityUniversitat Autònoma de BarcelonaInstituto Nacional de Investigación y Tecnología Agraria y AlimentariaCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas AsociadasConselho Nacional de Desenvolvimento Científico e TecnológicoUnited States Agency for International DevelopmentNational Geographic SocietyU.S. Department of EnergyGeneralitat de CatalunyaUniversité du Québec à MontréalNational Aeronautics and Space AdministrationComisión Nacional de Investigación Científica y TecnológicaStyrelsen för Internationellt UtvecklingssamarbeteDanoneLiverpool John Moores UniversityJunta de AndalucíaBar-Ilan University
KeywordsHumanitiesMolecular biologyBiologyPhilosophy

Abstract

fetched live from OpenAlex

15 Páginas.-- 1 Esquema

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.092
GPT teacher head0.375
Teacher spread0.283 · 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 designBench or experimental
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

Citations6
Published2016
Admission routes1
Has abstractyes

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