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Record W1555963603 · doi:10.1029/2009gm000876

Surface waters in Amazonia: Key findings and perspectives

2009· book-chapter· en· W1555963603 on OpenAlexaff

Bibliographic record

VenueGeophysical monograph · 2009
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicFish biology, ecology, and behavior
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAmazon rainforestKey (lock)OceanographyGeographyGeologyEarth scienceEnvironmental scienceEcologyBiology

Abstract

fetched live from OpenAlex

A long-standing paradigm of river networks is that they are minor components in the global carbon cycle, passively connecting the land and ocean reservoirs. As quoted by Cole et al. [2007], Leopold et al. [1964] described rivers as the “gutters down which flow the ruins of continents.” The major biogeochemical role of river systems is typically considered to be the “carbon leakage” (in the sense of Malhi and Grace [2000]), primarily the fluvial export of total organic carbon (TOC) and dissolved inorganic carbon (DIC) to the ocean of ~0.4 Gt c a−1, respectively [Degens et al., 1991; Stallard, 1998]. While these fluxes are significant compared the role of rivers in the regional carbon Balance

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: Review · Consensus signal: Review
Teacher disagreement score0.144
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.215
Teacher spread0.202 · 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
GenreReview

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

Citations28
Published2009
Admission routes1
Has abstractyes

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