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Record W6962265323 · doi:10.15468/dl.q9y7mm

Occurrence Download

2023· dataset· ceb· W6962265323 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2023
Typedataset
Languageceb
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSalmoOncorhynchusRainbow troutSalmonidaeSalvelinus

Abstract

fetched live from OpenAlex

A dataset containing 525084 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Baione fontinalis (Mitchill, 1814), Fario gairdneri (Richardson, 1836), Onchorhynchus mykiss (Walbaum, 1792), Onchorrhychus mykiss (Walbaum, 1792), Onchorynchus mykiss (Walbaum, 1792), Oncorhynchus chouicha Jordan & Gilbert, 1883, Oncorhynchus cooperi (Suckley, 1861), Oncorhynchus gairdnerii (Richardson, 1836), Oncorhynchus kamloops Jordan, 1892, Oncorhynchus kisatch (Walbaum, 1792), Oncorhynchus kisutch (Walbaum, 1792), Oncorhynchus kisutsh (Walbaum, 1792), Oncorhynchus milktschutsch (Walbaum, 1792), Oncorhynchus mykiss (Walbaum, 1792), Oncorhynchus mykiss nelsoni (Evermann, 1908), Oncorhynchus myskis (Walbaum, 1792), Oncorhynchus tschawytscha (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus tshawytsha (Walbaum, 1792), Parasalmo mykiss (Walbaum, 1792), Parasalmo penshinensis (Pallas, 1814), Salmo canadensis Griffith & Smith, 1834, Salmo cooperi Suckley, 1861, Salmo fontinalis Mitchill, 1814, Salmo gairdneri Richardson, 1836, Salmo gairdneri gairdneri, Salmo gairdneri irideus Gibbons, 1855, Salmo gairdneri kamloops (Jordan, 1892), Salmo gairdneri shasta Jordan, 1894, Salmo gairdneri var. gilberti Jordan, 1894, Salmo gairdnerii Richardson, 1836, Salmo gairdnerii gairdnerii, Salmo gairdnerii irideus Gibbons, 1855, Salmo gairdneri var. gilberti Jordan, 1894, Salmo gilberti Jordan, 1894, Salmo hisatch Walbaum, 1792, Salmo hisutch Walbaum, 1792, Salmo hudsonicus Suckley, 1861, Salmo iridea Gibbons, 1855, Salmo irideus Gibbons, 1855, Salmo irideus argentatus Bajkov, 1927, Salmo irideux Gibbons, 1855, Salmo kamloops (Jordan, 1892), Salmo kamloops whitehousei Dymond, 1931, Salmo kisatch Walbaum, 1792, Salmo kisutch Walbaum, 1792, Salmo leucomaenis Pallas, 1814, Salmo masoni Suckley, 1860, Salmo milktschutsch Walbaum, 1792, Salmo mykiss Walbaum, 1792, Salmo nelsoni Evermann, 1908, Salmo penshinensis Pallas, 1814, Salmo pluvius Hilgendorf, 1876, Salmo purpuratus Pallas, 1814, Salmo quinnat Richardson, 1836, Salmo richardi Suckley, 1861, Salmo richardii Suckley, 1861, Salmo rivularis kamloops (Jordan, 1892), Salmo truncatus Suckley, 1859, Salmo tschawytscha Walbaum, 1792, Salmo tshawytscha Walbaum, 1792, Salmo tsuppitch Richardson, 1836, Salmo warreni Suckley, 1861, Salmo gairdnerii Richardson, 1836, Salvelinus fontinalis (Mitchill, 1814), Salvelinus fontinalis timagamiensis Henn & Rinckenbach, 1925, Salvelinus imbrius Jordan & McGregor, 1925, Salvelinus leucomaenis (Pallas, 1814), Salvelinus leucomaenis imbrius Jordan & McGregor, 1925, Salvelinus leucomaenis leucomaenis, Salvelinus leucomaenis pluvius (Hilgendorf, 1876), Salvelinus leucomanius pluvius (Hilgendorf, 1876), Salvelinus pluvius (Hilgendorf, 1876), Salvelinus timagamiensis Henn & Rinckenbach, 1925, Trutta iridea (Gibbons, 1855))", "HasCoordinate is true", "HasGeospatialIssue is false" ] } The dataset includes 525084 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195899-230224095556074/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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.627
Threshold uncertainty score0.895

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.010
Science and technology studies0.0010.000
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3730.487

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.

Opus teacher head0.023
GPT teacher head0.239
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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