Bibliographic record
Abstract
A dataset containing 2565 species occurrences available in GBIF matching the query: { "and" : [ "Country is one of (Canada, United States of America)", "DatasetKey is one of (INSDC Sequences, INSDC Host Organism Sequences, Organisms responsible of infectious diseases listed at Menontin District Hospital (Cotonou, Atlantic department, South-Benin), Agents pathogènes responsables de maladies traitées à l'Hôpital de Mènontin (Cotonou, Sud-Bénin), Centre de Ressources Biologiques de l'Institut Pasteur, Census of living organisms for infectious, parasitics and virals diseases recorded in the Departemental University Hospital Center of Ouémé-Plateau, South-Benin. Database 2, Bacteria Collection in BCRC, BCCM/LMG Bacteria collection, DSMZ Prokarya Collection Catalogue, INSDC Environment Sample Sequences, Biological rejuvenation of iron oxides in bioturbated marine sediments, Assembly and activity of microbial communities in the Pacific temperate rainforest, Microbial community structure is affected by cropping sequences and bio-covers under long-term no-tillage, Ecological Genomics of a Seasonally Anoxic Fjord; Saanich Inlet, Ocean sediment-basement interface Targeted Locus (Loci), DEEPEND: Microbiome and bacterioplankton rRNA gene sequence data collected from Gulf of Mexico seawater samples. Cruises DP03 and DP04 from Jan 2016 - December 2016, International Collection of Microorganisms from Plants (ICMP), Soil Microbial communities from weed germination bioassay targeted loci environmental, Marine subseafloor sediment Targeted Locus (Loci), iNaturalist Research-grade Observations, VAG Mine Pit Pond Metagenome, Colección de Microorganismos-Pontificia Universidad Javeriana, Cepario de Microorganismos y Hongos Filamentosos de la Universidad del Valle, Actualización de la Colección de Microorganismos de importancia acuática)", "HasCoordinate is true", "HasGeospatialIssue is false", "TaxonKey is Salmonella enterica" ] } The dataset includes 2565 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028893-240906103802322/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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.262 | 0.312 |
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 source (direct Gemma or distilled Codex), 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".