Dissolved Inorganic Carbon, Alkalinity, pH, temperature, salinity, and other variables collected from profile observations using CTD, discrete bottles, and other instruments from February 12, 1985 to June 17, 2009, as synthesized in the Pacific Ocean Interior Carbon (PACIFICA) Database (NODC Accession 0110865)
Bibliographic record
Abstract
pacifica data synthesis project pacifica pacific ocean interior carbon was an international collaborative project for the data synthesis of ocean interior carbon and its related parameters in the pacific ocean the north pacific marine science organization pices section of carbon and climate s cc supported the project we have merged hydrographic hydrochemical datasets from a total of 213 cruises including those from cruises conducted between the late 1980s and 2000 but not stored in glodap as well as clivar co2 repeat hydrography datasets from the 2000s the adjustment values were suggested to account for the analytical offsets in the data of dissolved inorganic carbon total alkalinity salinity oxygen and nutrients nitrate and nitrite phosphate and silicic acid for each cruise as a result of the secondary quality control procedure based on the crossover analysis for the data from deep layers tanhua et al 2010 we also merged a total of 59 adjusted datasets from line p off the west coast of canada finally we have produced the adjusted pacifica database that consists of datasets from a total of 306 cruises that also include 34 datasets from woce hydrographic program cruises in the pacific ocean conducted in the 1990s the pacifica database is available free of charge as a numeric data package ndp 92 from the carbon dioxide information analysis center cdiac and north pacific marine science organization pices web sites the ndp consists of the original cruise data files adjusted data product and this documentation which describes the pacifica project please reference the pacifica data and data products using suzuki t m ishii m aoyama j r christian k enyo t kawano r m key n kosugi a kozyr l a miller a murata t nakano t ono t saino k sasaki d sasano y takatani m wakita and c sabine 2013 pacifica data synthesis project ornl cdiac 159 ndp 092 carbon dioxide information analysis center oak ridge national laboratory u s department of energy oak ridge tennessee doi 10 3334 cdiac otg pacifica_ndp092
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".