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Record W2046788694 · doi:10.6018/geografia/2014/218151

Peligrosidad de heladas por inversión térmica en la huerta de Murcia

2014· article· es· W2046788694 on OpenAlex
David Espín Sánchez

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePapeles de Geografía · 2014
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicHistorical and socio-economic studies of Spain and related regions
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsGeologyArt

Abstract

fetched live from OpenAlex

<p>En el Sureste peninsular son frecuentes las situaciones anticiclónicas alimentadas en<br />invierno por advecciones de aire polares/árticas continentales. Bajo estas condiciones, las<br />cuencas y valles fluviales intrabéticos son bastante proclives al desarrollo de inversiones<br />térmicas. Un claro ejemplo lo constituye la Vega Media del Segura en los meses de invierno.<br />En el presente artículo se analizan tales factores y las situaciones de inversión térmica más<br />importantes registradas en esta Vega durante el período 2000-2013. Como complemento al<br />estudio, se realiza una propuesta de cartografía de peligrosidad de heladas en la Huerta de<br />Murcia para los diferentes meses invernales.<br />Palabras claves: Inversión térmica, anticiclón,</p>

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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