Bibliographic record
Abstract
A dataset containing 0 species occurrences available in GBIF matching the query: { "and" : [ "DatasetKey is Database of Vascular Plants of Canada (VASCAN)", "TaxonKey is Plantae", "HasCoordinate is true", "HasGeospatialIssue is false", { "and" : [ "DecimalLatitude is greater than or equal to -90", "DecimalLatitude is less than or equal to 90", "DecimalLongitude is greater than or equal to -180", "DecimalLongitude is less than or equal to 180" ] }, { "and" : [ { "not" : { "Issue" : [ "is Zero coordinate" ] } }, { "not" : { "Issue" : [ "is Coordinate out of range" ] } }, { "not" : { "Issue" : [ "is Coordinate invalid" ] } }, { "not" : { "Issue" : [ "is Coordinate rounded" ] } }, { "not" : { "Issue" : [ "is Geodetic datum assumed WGS84" ] } }, { "not" : { "Issue" : [ "is Geodetic datum invalid" ] } }, { "not" : { "Issue" : [ "is Coordinate reprojected" ] } }, { "not" : { "Issue" : [ "is Coordinate reprojection suspicious" ] } }, { "not" : { "Issue" : [ "is Coordinate reprojection failed" ] } }, { "not" : { "Issue" : [ "is Coordinate accuracy invalid" ] } }, { "not" : { "Issue" : [ "is Coordinate precision invalid" ] } }, { "not" : { "Issue" : [ "is Coordinate uncertainty meters invalid" ] } }, { "not" : { "Issue" : [ "is Footprint SRS invalid" ] } }, { "not" : { "Issue" : [ "is Footprint WKT mismatch" ] } }, { "not" : { "Issue" : [ "is Footprint WKT invalid" ] } }, { "not" : { "Issue" : [ "is Country coordinate mismatch" ] } }, { "not" : { "Issue" : [ "is Country mismatch" ] } }, { "not" : { "Issue" : [ "is Country invalid" ] } }, { "not" : { "Issue" : [ "is Country derived from coordinates" ] } }, { "not" : { "Issue" : [ "is Continent coordinate mismatch" ] } }, { "not" : { "Issue" : [ "is Continent country mismatch" ] } }, { "not" : { "Issue" : [ "is Continent invalid" ] } }, { "not" : { "Issue" : [ "is Continent derived from country" ] } }, { "not" : { "Issue" : [ "is Continent derived from coordinates" ] } }, { "not" : { "Issue" : [ "is Presumed swapped coordinate" ] } }, { "not" : { "Issue" : [ "is Presumed negated longitude" ] } }, { "not" : { "Issue" : [ "is Presumed negated latitude" ] } }, { "not" : { "Issue" : [ "is Taxon match fuzzy" ] } }, { "not" : { "Issue" : [ "is Taxon match higher rank" ] } }, { "not" : { "Issue" : [ "is Taxon match aggregate" ] } }, { "not" : { "Issue" : [ "is The scientific name ID was not used in backbone matching" ] } }, { "not" : { "Issue" : [ "is The taxon concept ID was not used in backbone matching" ] } }, { "not" : { "Issue" : [ "is The taxon ID was not used in backbone matching" ] } }, { "not" : { "Issue" : [ "is Taxon match none" ] } }, { "not" : { "Issue" : [ "is The backbone match found using the taxon IDs differs from what would be found if using the scientific names" ] } } ] } ] } The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035653-250525065834625/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 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.396 | 0.513 |
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".