Bibliographic record
Abstract
A dataset containing 407 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Human Observation", "BasisOfRecord is Material sample", "BasisOfRecord is Specimen", "BasisOfRecord is Observation", "BasisOfRecord is Literature Occurrence" ] }, "Country is Mexico", { "or" : [ "DatasetKey is Field Museum of Natural History (Zoology) Mammal Collection", "DatasetKey is Mammalogy Collection - Royal Ontario Museum", "DatasetKey is MVZ Mammal Collection (Arctos)", "DatasetKey is UTEP Mammals (Arctos)", "DatasetKey is MLZ Mammal Collection (Arctos)", "DatasetKey is Vertebrate Zoology Division - Mammalogy, Yale Peabody Museum", "DatasetKey is University of Wyoming Museum of Vertebrates (UWYMV) Mammal Collection (Arctos)", "DatasetKey is DMNS Mammal Collection (Arctos)", "DatasetKey is UF Florida Museum of Natural History Mammals", "DatasetKey is SDNHM Mammology Collection" ] }, "Geometry POLYGON((-94.18579 16.17247,-93.83423 16.99376,-93.79028 17.81146,-94.49341 17.89511,-95.13062 18.16673,-95.7019 18.45877,-96.07544 18.70869,-96.38306 19.04135,-96.84448 19.10365,-97.3938 18.91668,-97.83325 18.54212,-98.33862 18.25022,-98.82202 17.95783,-99.06372 17.49739,-99.17358 17.16179,-99.15161 16.80454,-99.04175 16.5309,-98.38257 16.00358,-97.28394 15.70766,-96.427 15.49603,-95.15259 15.79225,-94.80103 16.04581,-94.18579 16.17247))", "HasGeospatialIssue is false", { "or" : [ "InstitutionCode is fmnh", "InstitutionCode is rom", "InstitutionCode is mvz", "InstitutionCode is utep", "InstitutionCode is mlz", "InstitutionCode is ypm", "InstitutionCode is uwymv", "InstitutionCode is dmns", "InstitutionCode is sdnhm", "InstitutionCode is uf" ] }, { "or" : [ "Issue is Geodetic datum assumed WGS84", "Issue is Geodetic datum invalid", "Issue is Coordinate rounded", "Issue is Institution match fuzzy", "Issue is Collection match fuzzy", "Issue is Institution collection mismatch" ] }, { "or" : [ "Month is December", "Month is November", "Month is October", "Month is September", "Month is August", "Month is July", "Month is June", "Month is May", "Month is April", "Month is March", "Month is February", "Month is January" ] }, { "or" : [ "PublishingOrg is 7b8aff00-a9f8-11d8-944b-b8a03c50a862", "PublishingOrg is ff418020-1d67-11d9-8435-b8a03c50a862", "PublishingOrg is 8edbbde0-055e-11d8-b850-b8a03c50a862", "PublishingOrg is 52c8f620-1816-11da-9544-b8a03c50a862", "PublishingOrg is 247b85e0-4e6b-46d1-b1c8-47b00bb8ced7", "PublishingOrg is 2e167bb0-4441-11db-9ba2-b8a03c50a862", "PublishingOrg is 50576fe5-7883-495d-9089-b5dcf5e56098", "PublishingOrg is 8483a1f0-1032-11db-ae00-b8a03c50a862", "PublishingOrg is 8a471700-4ce8-11db-b80e-b8a03c50a862", "PublishingOrg is a2ef6dd1-8886-48c9-8025-c62bac973cc7" ] }, "TaxonKey is Chiroptera", "Year 1000-2021" ] } The dataset includes 407 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189299-200613084148143/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.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.326 | 0.451 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".