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Record W6981612441

Estudio de las necesidades operativas de financiación en el sector de envases y embalajes: estudio del caso de Hinojosa Packaging S.L

2018· dissertation· es· W6981612441 on OpenAlexaboutno aff

Bibliographic record

VenueRiuNet (Universitat Politècnica de València) · 2018
Typedissertation
Languagees
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationWest indiesQuarter (Canadian coin)Research methodology
DOInot available

Abstract

fetched live from OpenAlex

[ES] El periodo medio de maduración económico y financiero ofrece información clave sobre el ciclo de explotación de una empresa. Mediante estos indicadores se pueden analizar los saldos de existencias, clientes y proveedores, que forman parte del cálculo de las necesidades operativas de financiación, con el fin de encontrar debilidades en el ciclo operativo de la sociedad. En el presente trabajo se analizará en detalle el periodo medio de maduración económico y financiero de la sociedad Hinojosa Packaging S.L como indicadores clave en la gestión de las necesidades operativas de financiación, tratando de encontrar posibles mejoras en la gestión operativa de la sociedad para mejorar la situación de liquidez y reducir los gastos en extra-financiación bancaria. Se realizará una comparativa con los datos de las empresas del sector de fabricantes de cartón ondulado para analizar si los datos obtenidos en esta sociedad se identifican con los del sector.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.002
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 head0.016
GPT teacher head0.289
Teacher spread0.272 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2018
Admission routes1
Has abstractyes

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