MétaCan
Menu
Back to cohort

10.1016/s0967-0653(97)85832-2

2000· article· en· W93577843 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
Fundersnot available
KeywordsBENGALBayOcean gyreOceanographyMonsoonUpwellingGeologySurface runoffPrecipitationClimatologyEnvironmental scienceGeographySubtropicsFisheryMeteorology

Abstract

fetched live from OpenAlex

Physical oceanography of the Bay of Bengal and Andaman Sea is reviewed for the first time. All available information for over 50 years is consolidated in this review. To begin with, information on peripheral or related aspects of climate of the hinterland, such as pressure, rainfall, storms, winds, sunshine etc., are presented. The Bay of Bengal and Andaman Sea are divided into two regions, viz., the coastal belt and the opean ocean areas, on the basis of large differences in water properties. Considerable variation in salinity and density exists all over the coastal areas due to abundant freshwater discharges, especially during the rainy months. The coastal circulation is mainly driven by river runoff and wind thrust and is influenced by branches of the Equatorial Current system. Strong wind-driven upwelling and sinking are seen along the eastern Indian coast. The surface circulation system in the Bay of Bengal and Andaman Sea can be divided into three gyres, viz., (a) the northwestern gyre, (b) the large gyre in the southern Bay of Bengal and (c) the Andaman gyre. Gyres are noted also at 500 m and 1000 m. The net water exchanges [Evaporation (E) + Precipitation (P) + Runoff (R)] at surface, for the whole area north of 5 degrees N are -11.5 cm and + 63.7 cm during the winter monsoon and summer monsoon, respectively. The net water transports across 6 degrees N between surface and 1250 m, are found to be -79 x 10 sup(12) m sup(3) and + 129 x 10 sup(12) m sup(3) for winter monsoon and summer monsoon periods, respectively. High salinity water masses from the Red Sea, Persian Gulf and eastern and southern Arabian Sea flow into the Bay of Bengal and play an important role in its water structure. A strong gradient of surface temperature is observed during winter (25.5 to 28.5 degrees C) from the head of the Bay to 5 degrees N; similarly for salinity (21.0 to 34.5 ppt) during summer. Variation in mixed layer thickness is greater during summer (about 25 to 100 m) and less during the winter (60 to 100 m). Abyssal water flows and properties are least studied in the Bay of Bengal

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 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 score0.966
Threshold uncertainty score0.486

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)1.0000.999

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 head0.150
Teacher spread0.145 · 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