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Record W2562093969

MADUREZ TERMICA DE LAS SECUENCIAS CENOZOICAS DEL SUR DE CHILE

2015· article· en· W2562093969 on OpenAlexaff
María Eugenia Cisternas, Ursula Kelm, Marcos Zentilli

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDiagenesisCenozoicGeologyMaturity (psychological)PaleontologySource rockTectonicsCoal measuresCoalGeochemistrySubsidenceStructural basinArchaeologyGeography
DOInot available

Abstract

fetched live from OpenAlex

The lower (Oligo-Miocene) continental section of the Cenozoic sequence in the South of Chile (Regions IX and X) carries coal seams, while the upper marine (Mid Miocene) has potential for hydrocarbon generation. Due to the potential economic importance of the Cenozoic strata, the thermal maturity has been investigated by comparison of inorganic (clays, zeolites) and organic (vitrinite reflectance) diagenetic indicators. The diagenetic level of the clays, zeolites and organic matter in samples from drill holes in the Temuco, Valdivia and Osomo provinces indicate that both the lower continental and upper marine sequences are immature. The catagenesis zone has not been reached in any of the drill holes sampled. lt seems improbable that any significant quantity of crude has been generated and only sub-bituminous quality coal is expected. The block-controlled post-Miocene tectonic framework, that defines the actual morphostructural landscape, makes areas with thicker overbunden (i.e. central Valley) a more prospective ground for studies. There deeper burying may have produced higher thermal maturity; therefore favoring hydrocarbon generation and increasing the coal maturity. KEY WORDS. Cenozoic rocks. Diagenesis. Coal seams. Southern Chile.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.206
GPT teacher head0.489
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 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
Published2015
Admission routes1
Has abstractyes

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