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Record W7011744638

Multiplexed DNA Directed Immunoarray for veterinary residues determination in cow's milk

2022· other· en· W7011744638 on OpenAlexfundno aff

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2022
Typeother
Languageen
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
FundersEuropean Regional Development FundAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaChina Scholarship CouncilNatural Sciences and Engineering Research Council of CanadaAgricultural Research ServiceRegione PiemonteUniversidad de AlmeríaBundesministerium für Digitalisierung und WirtschaftsstandortNarodowe Centrum Badań i RozwojuÖsterreichische Nationalstiftung für Forschung, Technologie und EntwicklungFOD Volksgezondheid, Veiligheid van de Voedselketen en LeefmilieuJunta de AndalucíaAgencia Santafesina de Ciencia, Tecnología e InnovaciónBundesamt für LandwirtschaftBundesministerium für Wirtschaft und EnergieProvincia Autonoma di TrentoUniversidad de ValladolidUnitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si InovariiUniversidad Nacional del LitoralBundesministerium für Ernährung und LandwirtschaftÖsterreichische ForschungsförderungsgesellschaftMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaMinisterio de Educación, Cultura y DeporteAgencia Estatal de InvestigaciónAssociation Nationale de la Recherche et de la TechnologieFood Standards AgencyGeneralitat de CatalunyaAmt der NÖ LandesregierungNational Research FoundationJavna Agencija za Raziskovalno Dejavnost RSAustrian Science FundVedecká Grantová Agentúra MŠVVaŠ SR a SAVGrantová Agentura České RepublikyEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloAgence Nationale de la RechercheMinisterio de Ciencia e InnovaciónUniverzita Karlova v PrazeConselho Nacional de Desenvolvimento Científico e TecnológicoAutoritatea Natională pentru Cercetare StiintificăNational Natural Science Foundation of ChinaUniversität WienSlovenská Akadémia ViedVysoká Škola Chemicko-technologická v PrazeBiominCanadian Institutes of Health ResearchMasarykova UniverzitaInstituto Nacional de Investigación y Tecnología Agraria y AlimentariaMinisterstvo Školství, Mládeže a TělovýchovyPurdue University
KeywordsDNAIsolation (microbiology)Dairy cattleBacteriaFood contaminant
DOInot available

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
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: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.004

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 head0.445
GPT teacher head0.391
Teacher spread0.054 · 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

Citations0
Published2022
Admission routes1
Has abstractno

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