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Record W3141554890

Observational analysis of the double-diffusive convection in the deep Canada Basin

2015· article· en· W3141554890 on OpenAlexaboutno aff
Xie, Lingling, LI -, Mingming, Мин

Bibliographic record

Venue海洋学报:英文版 · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySalinityStructural basinConvectionClimatologyEnvironmental scienceMeteorologyOceanographyGeographyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

加拿大盆(CB ) 是在北极的最大的亚盆,与最深深渊 3 850 m 的平原。双 diffusive 过程是地热的精力通过影响上述孤立的深水的可能的经过。与在 2003 的 temperature-salinity-pressure 观察, 500-m-thick 转移层并且降低同质的层在中央深 CB 在 2 400 m 下面被发现的 1 个 000-m-thick 底部。有向下增加的温度和咸度的楼梯在转变层是突出的,建议在深 CB 的 doublediffusive 传送对流。楼梯的接口是与 0.0010.002 厚的大约 10 m ?? 汳灯 ? 湩琠敨爠湡敧戠瑥敷湥 ?? 愠摮 ???甠楮獴 吗?

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.219
Teacher spread0.140 · 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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