Bibliographic record
Abstract
Anisotoma discolor (Melsheimer, 1844) NOVA SCOTIA: Annapolis Co.: Channel Lake, Kejimkujik National Park, 13-21. VIII.2005, R. Ewing, maple-oak-birch forest, pitfall trap, (1, CGMC); Channel Lake, Kejimkujik National Park, 6-17.VII.2005, S. Poirier, maple-oak-birch forest, pitfall trap, (1, CGMC); Durland Lake, 3.VIII.2003, P. Dollin, hemlock-black spruce-balsam fir forest, in decaying red maple log, (1, NSMC); Digby Co.: Kejimkujik National Park: Pebbleloggitch Lake, 28.VI-7.VII.2004, H. Love, maple-oak-birch forest, pitfall trap, (1, CGMC); Inverness Co.: MacKenzies Mountain, Cape Breton Highlands National Park, 19-21.VII.1983, D.E. and J.E. Bright, pan trap, (1, CNC); Queens Co.: Black Duck Lake, 18.VI.2003, P. Dollin, white pine forest, polypore fungus, (2, NSMC); Black Duck Lake, 1.VIII.2003, P. Dollin, white pine-red spruce forest, Lycoperdon sp., (2, NSMC); Sixth Lake, 20.VI.2003, P. Dollin, old-growth hemlock forest, “orange ball fungus”, (3, NSMC); Tobeatic Lake, 17.VI.2003, P. Dollin, red spruce forest, decomposing red maple log, (2, NSMC); Medway River, 13.VII.1993, J. and T. Cook, car net, (7, JCC). Anisotoma discolor is newly recorded in Nova Scotia and in Atlantic Canada (Fig. 9). Adults have been collected between February and October from oak and pine bark and in leaf litter. Slime mold hosts include Stemonitis axifera, S. fusca, S. splendens, Fuligo septica, and Comatricha nigra (Pers.) J. Schroet. (Wheeler 1979).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.028 | 0.016 |
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".