Atmospheric Flask O2/N2 Data Sets – Multiple Sampling Stations. In Scripps O2 Program Data
Bibliographic record
Abstract
Atmospheric flask O2/N2 data sets taken at stations ALT, BRW, CBA, LJO, MLO, KUM, SAM, CGO, PSA, SPO, MCQ, and NWR. Active Stations Alert, NWT, Canada (ALT) - 82.3°N, 62.3°W, 210m: 1989 - present Barrow, Alaska (BRW) - 71.3°N, 156.8°W, 3m: 2010 - present Cold Bay, Alaska (CBA) 55°N 163°W, 42m: 1995 - present La Jolla Pier, California (LJO) - 32.9°N, 117.3°W, 10m: 1989 - present Mauna Loa Observatory, Hawaii (MLO) - 19.5°N, 155.6°W, 3397m: 1991 - present Cape Kumukahi, Hawaii (KUM) - 19.5°N, 154.8°W, 3m: 1993 - present American Samoa (SAM) - 14°S 170°W: 1993 - present Cape Grim, Australia (CGO) - 41°S 150°E, 91m: 1991 - present Palmer Station, Antarctica (PSA) - 65°S 64°W, 2835m: 1996 - present South Pole, Antarctica (SPO) - 90.0°S, 0.0°E, 2810m: 1991 - present Legacy Stations Macquarie Island (MCQ) - 54°S 159°E: 1993 - 1994 Niwot Ridge (NWR) - 40°N 105°W: 1991 - 1993 See Map of Scripps O2 Program Sampling Stations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.011 |
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".