Bibliographic record
Abstract
Thereva brunnea Cole (Fig. 12) Specimens examined (15). BC: Cathedral Provincial Park, Glacier Lake; Cathedral Provincial Park, Quinescoe Mountain summit; Hope, Nicolum River; Manning Provincial Park, Strawberry Flats; Nicola; Saanich, Mount Newton; Victoria, Ten Mile Point; Wellington. DEBU, RBCM, SEM. Database and literature records (44+4). BC: Agassiz; Chase; Courtenay; Cultus Lake Provincial Park; Dean River; Gabriola Island; Gillies Bay; Hornby Island, Norman Point; Merritt, Midday Valley; Mesachie Lake; Mission; Nanaimo; Quadra Island; Vancouver; Vancouver, University of BC; Victoria (type locality); Wellington. CASC, CNCI, EMEC, INHS, MCZC, MEI, NHMW, OSUC, OSUO, SEM. iNaturalist records (1). Tipella, Harrison Lake, north end (iNat 53228675) (Fig. 12). Conservation status. BC: S4 Distributional notes. In British Columbia, T. brunnea is widespread in coastal areas (Victoria, Vancouver, Dean River) and the southwestern Interior (Chase, Merritt). It is especially frequent on the south coast and likely occurs east to the Rocky Mountains based on records in adjacent jurisdictions (Holston & Irwin 2005). Ecoprovinces and other designations. BC: Coast and Mountains, Georgia Depression, Southern Interior, Southern Interior Mountains. Range. Cordilleran. British Columbia and Alberta south to Montana and California (Webb et al. 2013). Biological notes. Flight period: 4 May–6 September. Thereva brunnea is found from sea beaches to alpine meadows.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.081 | 0.026 |
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".