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Additional file 1 of Microbiota and functional analyses of nitrogen-fixing bacteria in root-knot nematode parasitism of plants

2023· article· en· W6902090554 on OpenAlexaff

Bibliographic record

VenueFigshare · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNematodeTable (database)ParasitismPrincipal component analysisBacteriaRelative species abundance

Abstract

fetched live from OpenAlex

Additional file 1: Table S1. Experimental design and basic sequencing statistics for samples collected from five plant species. Table S3. Experimental design and basic sequencing statistics for samples collected from tomato plants at different growth stages. Table S9. Experimental design and basic traits for samples collected from tomato plants amended with different nitrogen sources. Table S11. Experimental design and basic sequencing statistics from metaproteomic analyses. Figure S1. Order-level community comparison and OTU-based hierarchical clustering analysis of healthy and nematode parasitized samples in five plant species. Figure S2. Unconstrained PCoA (for principal coordinates PCo1 and PCo2) with Bray–Curtis distance showing the root-associated bacteria of healthy and parasitized samples, for each plant species. Figure S3. The composition and relative abundance of major bacterial orders of the tomato root-associated microbiota at different developmental stages. Figure S4. Pairwise analysis for the variation of root-associated microbiota over time at different growth and RKN parasitism stages in tomato. Figure S5. The shared OTUs number and taxonomic composition of the depleted and enriched OUTs in the parasitized root samples (IRH and IRK) comparing with healthy roots (HRC).

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)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.820
Threshold uncertainty score0.257

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8200.179

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 head0.072
GPT teacher head0.257
Teacher spread0.185 · 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.

Study designObservational
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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