Systematic analysis of Upper Triassic silicified scleractinian corals from Wrangellia and the Alexander Terrane, Alaska and British Columbia
Bibliographic record
Abstract
Acid processing allowed systematic identification of 458 Upper Triassic silicified scleractinian corals (20 genera, 47 species) from the Alexander terrane (southeast Alaska) and Wrangellia (Wrangell Mountains, southern Alaska and Vancouver Island, Canada). Coral faunas, here presented, show taxonomic affinity with coeval collections from other Cordilleran terranes, specifically the Wallowa terrane (northeastern Oregon and Idaho) and Peru (South America) as well as the distant Tethys region. Genera from the Alexander terrane include:KompsasteriaRoniewicz,GablonzeriaCuif,CuifiaMelnikova,ParacuifiaMelnikova,DistichophylliaCuif,RetiophylliaCuif,KuhnastraeaCuif,MargarosmiliaVolz,DistichomeandraCuif,AstraeomorphaReuss,PamiroserisMelnikova,CrassistellaRoniewicz,StylophyllumFrech, andMeandrostylisFrech. Genera from Wrangellia include:GablonzeriaCuif,DistichophylliaCuif,RetiophylliaCuif,KuhnastraeaCuif,MargarosmiliaVolz,DistichomeandraCuif,AstraeomorphaReuss,ParastraeomorphaRoniewicz,ChondrocoeniaRoniewicz,PamiroserisMelnikova,CrassistellaRoniewicz,Ampakabastraea?Alloiteau,RecticostastraeaStanley and Whalen,MeandrostylisFrech,AnthostylisRoniewicz, and the new genusCampesterian. gen. New species include:Gablonzeria grandiosan. sp.,Paracuifia smithin. sp.,Paracuifia jennieaen. sp.,P. anomalan. sp.,Retiophyllia dendriformisn. sp.,R. obtusan. sp., andCampesteria prolixian. sp.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".