CODEX Rb and Sr isotopic data of granites
Bibliographic record
Abstract
The files in this archive represent Rb and Sr isotopic compositions of hundreds of spot analyses on the Boulder Creek Granite and the Pikes Peak Granite. Data were acquired at the Southwest Research Institute in Boulder, Colorado, USA in July-August 2019, using the breadboard version of CODEX, the Chemistry, Organics, and Dating Experiment. The files are in plain text format. Following a one-row header that gives column headings, subsequent rows contain: (1) A unique identifier for each spot analysis; (2-4) 3 columns representing the position of the analysis spot (in mm) relative to a fiducial spot on the sample holder (this permits the construction of an isotopic map of the sample); (5-7) the isotopic abundances for Rb87, Sr86, and Sr87 in units of V*ns, i.e., the product of peak height and duration; (8-10) the 1-sigma uncertainties in each of those isotope abundances, in the same units; (11-13) the correlation coefficients (dimensionless) between fluctuations in the isotope pairs (Rb-87,Sr-86), (Sr-86,Sr-87), (Rb-87,Sr-87). These are important because the uncertainties in the isotope abundances are strongly correlated with one another, making the uncertainties in their ratios smaller than the uncertainty in individual abundances might suggest; (14-15) the ratio of Rb87/Sr86 and its 1-sigma uncertainty; (16-17) the ratio of Sr87/Sr86 and its 1-sigma uncertainty; and (18) the correlation coefficient between the Rb87/Sr86 ratio and the Sr87/Sr86 ratio.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.086 | 0.048 |
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".