SPECIMENS OF Dendraster excentricus ( Esch-
Bibliographic record
Abstract
olrz) , the common American Pacific coast sand dollar, were collected from 22 localities between mid Baja California and Vancouver Island ( Fig. 1). Three tests from each of the 22 localities were analyzed for N a, Mn, and Fe, using an atomic absorption spectrophotometric technique. Fe was determined with an analytical precision of + 3.0 % of the amount present. Mn was determined to ±2.0 % and Na to + 8.0 %. Table 1 is a summary of the analytical results. (Chemical analyses were made in the Depart-ment of Geology, Rice University.) The primary purpose of this investigation is to delineate the effects of the environmental par ameters, temperature and i.saliniry, on the skeletal concentration of Na, Mn, and Fe in D. excentricus. Such information can be of in-terest both from the standpoint of paleoecology and in the elucidation of calcification processes. Because a single monomineralic species was studied, mineralogical and physiological vari-ables affecting test composition are relatively constant and environmental factors are empha-sized. A second purpose is to contribute knowl-edge of the concentration of Na, Mn, and Fe in natural high-Mg calcites, about which little is known. Previously Pilkey and Hower (1960) studied the Sr and Mg contents of tests of the same species of sand dollar. The Mg contents of D. excentricus tests appeared co be directly related 'co both temperature and salinity. The Sr con-
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".