Bibliographic record
Abstract
A dataset containing 288 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Observation", "BasisOfRecord is Literature Occurrence", "BasisOfRecord is Specimen", "BasisOfRecord is Living Specimen", "BasisOfRecord is Human Observation", "BasisOfRecord is Machine Observation", "BasisOfRecord is Material sample" ] }, { "or" : [ "License is Incompatible", "License is Pending", "License is CC-BY-NC 4.0", "License is CC-BY 4.0", "License is CC0 1.0" ] }, { "or" : [ "PublishingOrg is a3c228d0-3110-11db-abb8-b8a03c50a862", "PublishingOrg is 2a7e3080-28a9-11dd-97cd-b8a03c50a862", "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530", "PublishingOrg is eac88d99-9f6c-4031-8fc4-8088f0e0dfe7", "PublishingOrg is 5a45153b-bdf9-44ae-b7a7-e3261896540b", "PublishingOrg is ff418020-1d67-11d9-8435-b8a03c50a862" ] }, "Geometry POLYGON ((-75.662841796875 2.943040910055132, -75.75897216796875 2.6934044322117434, -75.6134033203125 2.5644509655301384, -75.3387451171875 2.8991526985043135, -75.60516357421874 3.06646715603861, -75.662841796875 2.943040910055132))", { "or" : [ "DatasetKey is Bioversity Collecting Mission Database", "DatasetKey is Ornithology Collection Non Passeriformes - Royal Ontario Museum", "DatasetKey is Ornithology Collection Passeriformes - Royal Ontario Museum", "DatasetKey is Colección Herbario Federico Medem Bogotá - FMB", "DatasetKey is Herbario Nacional Colombiano (COL)", "DatasetKey is Colección Zoológica de la Universidad del Tolima (CZUT)- Ictiología", "DatasetKey is EOD – eBird Observation Dataset", "DatasetKey is ICN - Universidad Nacional de Colombia", "DatasetKey is Herbario virtual bosques secos de Colombia - sección herbario FMB (IAvH)", "DatasetKey is Herbario virtual bosques secos de Colombia - Sección herbario TOLI (UT)" ] } ] } The dataset includes 288 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000509-170925132151566/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 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.158 |
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 teacher head, 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".