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Record W2616172148

Safepork2015 Proceedings Book: Epidemiology and control of hazards in pork production chain – SAFEPORK One health approach under a concept of farm to fork

2015· book· en· W2616172148 on OpenAlexfundno aff
Madalena Vieira‐Pinto

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2015
Typebook
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
FundersBundesinstitut für RisikobewertungDirectorate-General for Health and ConsumersEuropean Centre for Disease Prevention and ControlConsejo Nacional de Investigaciones Científicas y TécnicasNatural Sciences and Engineering Research Council of CanadaRégion BretagneCoordination of European Transnational Research in Organic Food and Farming SystemsDepartment of Agriculture, Food and the Marine, IrelandFOD Volksgezondheid, Veiligheid van de Voedselketen en LeefmilieuChiang Mai UniversityIowa State UniversityBundesministerium für Bildung und ForschungEuropean CommissionFederalno Ministarstvo Obrazovanja i NaukeFood Institutional Research MeasureSwine Innovation PorcDepartment for Environment, Food and Rural Affairs, UK GovernmentFundação para a Ciência e a TecnologiaUniversidad Católica de CórdobaAlberta Agriculture and ForestryFrance AgriMerCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorZoetisOntario Ministry of Agriculture, Food and Rural AffairsEuropean Food Safety AuthorityInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria
KeywordsFork (system call)Production (economics)Control (management)Environmental healthBusinessEngineeringMedicineEconomicsManagementMechanical engineering
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 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)0.017
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.001
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.133
GPT teacher head0.385
Teacher spread0.252 · 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.

Study designTheoretical or conceptual
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

Citations1
Published2015
Admission routes1
Has abstractno

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Same venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicHermeneutics and Narrative IdentityFrench-language works237,207