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Record W2286537340 · doi:10.1016/s0967-0653(97)85208-8

10.1016/s0967-0653(97)85208-8

2000· article· en· W2286537340 on OpenAlexvenueno aff
Karl Banse, Sumitra-Vijayaraghavan, M. Madhupratap

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsUpwellingPhytoplanktonPhotosynthesisBiomass (ecology)NutrientEnvironmental scienceChlorophyll aMonsoonOceanographyBloomSeasonalityChlorophyllAlgaeBiologyEcologyBotanyGeology

Abstract

fetched live from OpenAlex

Data collected off the southwest coast of India at the onset of the 1987 southwest monsoon season suggest that the commonly observed high concentrations of chlorophyll and rates of photosynthesis of the season may not be due to greatly enhanced chlorophyll-specific (normalized) photosynthetic rates of the bulk phytoplankton. Instead it is proposed that the seasonally increased nutrient supply primarily increases the growth rate of the otherwise more diffusion-limited large-celled species, which then can materially increase in numbers, since they are poorly controlled by grazers. If so, the principal role of the high nutrient concentrations would be to permit the build-up of a large algal biomass and pigment concentrations that, coupled with moderate normalized photosynthetic rates, yield the observed high production rates per m 3 and m 2 of the upwelling season.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.952
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)1.0001.000

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 head0.006
GPT teacher head0.147
Teacher spread0.141 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations36
Published2000
Admission routes1
Has abstractyes

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