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CLAPPP - New Caledonian lagoons: Physics and Phytoplankton processes

2020· dataset· en· W6890409202 on OpenAlexaff

Bibliographic record

VenueEntrepôt pour orphelin · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsPhytoplanktonPlanktonTerrigenous sedimentEcosystemBiogeochemical cycleProductivityMarine ecosystem

Abstract

fetched live from OpenAlex

The New Caledonia lagoons show high seasonal and interannual variability (related to El Niño – Southern oscillation – ENSO - variability). They present a great diversity of local situations linked to differences in their geomorphology, to the nature of terrigenous inputs and to varied anthropogenic pressure. This variability impacts the structure of planktonic communities and their biodiversity. The scientific objectives of the CLAPPP project developed on 6 New Caledonia lagoons are : - 1) to describe the local environmental conditions and their seasonality, - 2) to understand the heterogeneity of phytoplankton communities at the biological, spatial and/or temporal levels, - 3) to study the role of this diversity in the functioning of coral ecosystems and the regulation of biogeochemical cycles, and - 4) to assess the importance of phytoplankton as an index of productivity and health of the lagoons in relation with local stress conditions and the risk of HABs.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.177
Threshold uncertainty score0.353

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.016

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 head0.025
GPT teacher head0.257
Teacher spread0.232 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

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