Hair-trichomes-files, and spectrochemistry of Macroneuropteris scheuchzeri (Basal Cantabrian, Sydney Coalfield, Canada)
Bibliographic record
Abstract
Hoffmann's species Neuropteris Scheuchzeri in Keferstein 1827 is generally but not exclusively identified by its 1-4 mm long trichomes or hairs, though he did not mention nor illustrate them in the diagnosis of the species. Basal Cantabrian-age compressions of the species, including 'Odontopteris subcuneata', from Sydney Coalfield, Canada, are oxidized/macerated by Schulze's process from 3 hours to 12 days to track solubility patterns of the trichomes or hairs, and files. Proposed is also a spectrochemical model for Macroneuropteris (ex Neuropteris) scheuchzeri based on carbon 13 nuclear magnetic resonance (13C NMR) experiments, combined with Fourier transform infrared (FTIR) spectroscopy. M. scheuchzeri is chemically similar to other medullosaleans in respect to high aliphatic and low aromatic contents, though FTIR analysis signals preservation variability. Hair invariably drops from compressions during HF treatment, it is opaque, pointed and not organically attached to compressions. A secretory origin is hypothesized that requires confirmation, including explanation of physiological function. Files-hair-trichomes, besides dissolving at different rates when oxidized, are physicomorphologically distinguishable from one another; hence hair and trichomes are not synonymous, as assumed by some authors.Morphological/functional-group changes occur across the basal frond dichotomy (bfd). Apart from the 'pinnule' differences is that above bfd trifoliate foliage shows hair and trichomes, whereas below bfd 'O. subcuneata', for example, shows hair, files, and some trichomes. Most conspicuous in functional-group differences is that aliphatic side-chain branching is lower below than above bfd. It is suggested that aspects of Zimmermann's telomic theory may offer an explanation for the phenomenon.
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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) | 0.001 | 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".