Bibliographic record
Abstract
A dataset containing 0 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Valeriana boelckii Rossow, Valeriana carnosa Sm., Valeriana chilensis Borsini, Valeriana chinensis Kreyer, Valeriana chinensis Kreyer ex Kom., Valeriana chinensis L., Valeriana chiapensis Barrie, Valeriana clarionifolia Phil., Valeriana clarionaefolia Phil., 1858, Valeriana corynodes Borsini, Valeriana corynoides Borsini, Valeriana crispa Ruiz & Pav., Valeriana crispa Hook. & Arn., Valeriana effusa Griseb., Valeriana diffusa Poepp., Valeriana fonkii Phil., Valeriana fonckii Phil., Valeriana moonii Arn. ex C.B.Clarke, Valeriana moonii Arn., Valeriana gracilipes Clos, Valeriana gracilis Raf., Valeriana graciliceps Clos, Valeriana gracilis Benth., Valeriana grandifolia Phil., Valeriana grandiflora Wall., 1829, Valeriana hebecarpa DC., Valeriana hornschuchiana Walp., Valeriana lapathifolia Vahl, Valeriana latifolia M.Martens & Galeotti, Valeriana lyratifolia Sumnev., Valeriana laxiflora DC., Valeriana laxiflora Phil., Valeriana albiflora (B.A.Sharipova) B.A.Sharipova, Valeriana lepidota Clos, Valeriana leucocarpa DC., Valeriana leiocarpa Kitag., Valeriana lobata (Hook. & Arn.) Höck, Valeriana lobata Bors., Valeriana connata Ruiz & Pav., Valeriana lyrata Vahl, Valeriana lanata Christenh. & Byng, Valeriana lyrata Phil., Valeriana ovata Rydb., Valeriana macrorhiza Poepp. ex DC., Valeriana macrorhiza Poepp., Valeriana macrorhiza Macloskie, 1905, Valeriana L., Valeriana moyanoi Speg., Valeriana nivalis Wedd., Valeriana philippiana Briq., Valeriana polemoniifolia Phil., Valeriana polybotrya (Griseb.) Höck, Valeriana polystachya Sm., Valeriana radicalis Clos, Valeriana stricta Clos, Valeriana striata Royle, Valeriana stuckertii Briq, Valeriana vaga Clos, Valeriana magna Clos, Valeriana laxa Phil., Valeriana napus Lindl., Valeriana ovata Rydb., Valeriana verticillata Clos, Valeriana verticillata Clairv., 1811, Valeriana virescens Clos)", "HasCoordinate is true", "Country is Argentina" ] } The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017235-210914110416597/datasets/export for details.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.268 | 0.424 |
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".