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 552 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "Country is Canada", "Country is United States of America" ] }, { "or" : [ "Month is May", "Month is June", "Month is July", "Month is August" ] }, "Year 1930-2018", "Geometry POLYGON ((-63.984375 19.973348786110602, -87.890625 2.1088986592431382, -123.74999999999999 29.53522956294847, -142.734375 56.559482483762245, -192.65625 47.989921667414194, -170.15625 62.2679226294176, -170.15625 72.39570570653261, -131.484375 72.39570570653261, -121.640625 79.68718415450823, -66.09375 72.18180355624855, -52.734375 59.88893689676585, -47.109375 41.50857729743935, -63.984375 19.973348786110602))", "HasCoordinate is true", "TaxonKey is Zonotrichia leucophrys gambelii (Nuttall, 1840)", "HasGeospatialIssue is false" ] } The dataset includes 552 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007290-171219132708484/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) | 0.001 | 0.147 |
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