Bibliographic record
Abstract
Mocyta discreta (Casey) Distribution Origin Nearctic Distribution Canada: MB, ON, QC, SK. USA: IA, MN New provincial Canada: Manitoba: Souris River, 2016-IX-9, 49.5022°N, 99.9915°W, 402 m, river records bank, oak litter, sifting, B. Godin & D. Horwood (BGC) 1 female; Cyprus Creek, 2016-IX-15, 49.5774°N, 101.3645°W, 510 m, willow litter, sifting, B. Godin & D. Horwood (BGC) 1 male; Birds Hill [Prov. Park] - bur oak [trail], 2016-IX-16, 50.0083°N, 96.9216°W, 264 m, mushrooms, sifting, B. Godin & D. Horwood (BGC) 5 males, 6 females; same locality data (LFC) 5 males, 4 females; Moose Lake, 2016-IX-19, 49.2018°N, 95.3423°W, 353 m, mushroom, sifting, B. Godin & D. Horwood (LFC) 2 males, 2 females. References Casey 1893, Klimaszewski et al. 2015b, 2018 Collection and habitat data. Habitat (outside of the study area). Associated with hardwood/deciduous forests; adults in forest litter, deciduous leaf mold, in maple/oak forest litter and other unspecified deciduous forest litter. Collecting period. IV–X. Collecting method. Pitfall traps, sifting forest litter.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.010 |
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".