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Record W6950058534 · doi:10.5281/zenodo.6171865

Xiphinema chambersi

2012· article· en· W6950058534 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsXiphinemaPopulationMorphometricsTaxonomy (biology)Nomenclature

Abstract

fetched live from OpenAlex

Xiphinema chambersi (Fig. 8 E, F, J) Measurements. See Table 15. Remarks. Xiphinema chambersi was described from specimens collected in Virginia (Thorne, 1939). It has been recorded in Arkansas (Robbins et al. 1987; Ye & Robbins 2010), Florida (Tarjan 1974; Lamberti et al. 2002), Iowa (Norton & Hoffmann 1974; Norton et al. 1982), Connecticut, Georgia, Illinois, Louisiana, Maryland, Minnisota, NC, New Jersey, SC, Tennessee, Wisconsin, and West Virginia (Norton et al. 1984), and in Canada (Yu et al. 2010), Japan (Yokoo, 1970; Shishida 1983) and Korea (Choi et al. 1992). In the present study, X. bakeri was found in bermudagrass fairways in Lee County, NC. The morphology and morphometrics of the identified population did not differ from those of previously described populations (Ye & Robbins 2010). measurements in μm and in the format: mean ± S.D. (range).

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.004

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 head0.031
GPT teacher head0.219
Teacher spread0.187 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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