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Record W2073889024 · doi:10.2208/kaigan.66.1291

Field Observation for Planning the Fishing Ground Development in North Japan Sea

2010· article· en· W2073889024 on OpenAlexaff
Jun Yamamoto, Mitsuhiro Watanabe, Kenji Hayashida, Kazuyoshi Sakamoto, Hiroaki Mine, Yoshinori Nishida, Hitoshi Tanaka

Bibliographic record

VenueJournal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering) · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsEcoMetrix
Fundersnot available
KeywordsFishingBayOceanographyEnvironmental scienceStratification (seeds)Primary productivityWater columnPlanktonFisheryProductivityGeologyNutrientEcologyBiology

Abstract

fetched live from OpenAlex

In connection with a planning of fishing ground development in the exclusive economic zone around Hokkaido, the authors observed currents, water quality, plankton and the primary productivity in the area surrounding the Musashi Bank in August in 2009. As a result, the primary production rate of summer of this sea area was estimated to be about 36.6 (mg-C/m2/day). It is quite lower than that of other bay area in Japan. The density stratification was observed and it suggests that Tsushima Warm Current along the Hokkaido coast influences the height of the layer. Depth in which it meets the requirement of the photosynthesis is 25-55m. It accounts for about 66% of the primary production of the entire water column here. It was confirmed that the lack of the nutrient salt on the surface limited the primary production of this sea area in summer.

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)0.000
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 score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.194
Teacher spread0.180 · 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
Published2010
Admission routes1
Has abstractyes

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