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Record W2032586774 · doi:10.1515/bot.2007.010

Diversity, abundance and distribution of macroalgae at Sirinart Marine National Park, Phuket Province, Thailand

2007· article· en· W2032586774 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBotanica Marina · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsUniversity of Prince Edward Island
FundersUniversity of Arizona
KeywordsIntertidal zoneAbundance (ecology)ShoreSargassumDiversity indexNational parkSpecies diversityGeographyEcologyBiodiversitySalinityRocky shoreFisheryBiologyAlgaeSpecies richness

Abstract

fetched live from OpenAlex

Abstract Diversity, abundance and distribution of intertidal macroalgae were investigated in relation to environmental conditions (site, shore level, salinity, temperature, NO 3- and ) in Sirinart Marine National Park, Phuket province, Thailand, from January to November 2004. The shores were divided into 3 categories by shore level: upper, mid and lower shores; and 3 sampling sites: sites 1, 2 and 3. A total of 52 species of macroalgae were recorded. Nine species are considered to be new records for the Thai marine flora. The average diversity index of macroalgae differed slightly among sites: 0.92±0.07 (mean±SE), 1.00±0.13 and 0.94±0.16 for site 1, site 2 and site 3, respectively. There was significant difference in abundance of macroalgae among sites and seasons. Lyngbya majuscula and Padina australis were the most abundant species. Their percentage covers were 31.66±7.21% and 27.77±4.67% in site 2 at mid shore level during March 2004 and in site 3 at mid shore level during November 2004, respectively.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.999

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 science0.0000.001
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 head0.011
GPT teacher head0.201
Teacher spread0.190 · 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