Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A dataset containing 51 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is Specimen", { "or" : [ "DatasetKey is Canadian Museum of Nature Herbarium", "DatasetKey is University of Alberta Vascular Plant Herbarium (ALTA-VP)", "DatasetKey is Harvard University Herbaria: All Records", "DatasetKey is UAM Herbarium (ALA), Vascular Plant Collection (Arctos)", "DatasetKey is The New York Botanical Garden Herbarium (NY)", "DatasetKey is Royal BC Museum - Herbarium (V)", "DatasetKey is Black Hills State University Herbarium", "DatasetKey is NMNH Extant Specimen Records (USNM, US)" ] }, "HasCoordinate is true", "HasGeospatialIssue is false", { "or" : [ "InstitutionCode is cmn", "InstitutionCode is university of alberta museums", "InstitutionCode is uam", "InstitutionCode is ny", "InstitutionCode is gh", "InstitutionCode is rbcm", "InstitutionCode is us", "InstitutionCode is bhsc", "InstitutionCode is usfs/bhsc", "InstitutionCode is a" ] }, "OccurrenceStatus is Present", { "or" : [ "PublishingOrg is 03cb9700-6cee-11d8-922d-b8a03c50a862", "PublishingOrg is a41250f0-7c3e-11d8-a19c-b8a03c50a862", "PublishingOrg is 485ff490-e3b7-11db-9acc-b8a03c50a862", "PublishingOrg is d9699a79-4736-45c2-925c-f4033ac67d52", "PublishingOrg is ae447c50-b8a8-11d8-92a4-b8a03c50a862", "PublishingOrg is cc6110c7-f75c-47c8-8931-f7dd3f324777", "PublishingOrg is 4344230d-c4cd-4103-87d5-dd6e56730530", "PublishingOrg is bc092ff0-02e4-11dc-991f-b8a03c50a862" ] }, "TaxonKey is Aquilegia brevistyla Hook.", "Year 1980-2021" ] } The dataset includes 51 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038854-210914110416597/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.034 | 0.342 |
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 it