APATITE TEXTURES AND COMPOSITIONS AS RECORDS OF CRYSTALLIZATION PROCESSES IN THE ANIMIKIE RED ACE PEGMATITE DIKE, WISCONSIN, USA
Bibliographic record
Abstract
Unidirectional and skeletal textures in the thin inward-crystallizing Animikie Red Ace (ARA) pegmatite dike, in northeastern Wisconsin, suggest rapid, disequilibrium crystallization of the outer zones as the pegmatite-forming magma came in contact with much cooler country-rocks. The rock textures support the cooling and solidification of the dike in less than 50 days in conditions of strong to moderate undercooling, as estimated in a previous fluid- and melt-inclusion study and modeling of the conductive cooling. The magmatic disequilibrium textures are accompanied by a suite of replacement textures resulting from the aggressive reaction of assemblages of first-generation minerals deposited on the colder walls with a liquid derived from the hotter inner zones. Apatite habit, frequency, cathodoluminescence, and chemical composition fluctuate systematically within the ARA pegmatite from the outer to the inner zones. Apatite of distinctive Mn, Cl, and Fe contents occurs in the border zone, wall zone, and core-margin zone; the intervening intermediate zones and main core zones do not contain any apatite. Manganese concentrations alternate several times from very low in apatite-(CaF) to as much as 12.7 wt% MnO in manganoan apatite-(CaF). The jigsaw-like pattern of apatite occurrence and chemical composition is interpreted as a consequence of rhythmic evolution of melt composition in boundary layers formed ahead of solidifying fronts during the rapid, inward crystallization of the dike.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".