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Record W7116729290 · doi:10.71318/apom.2020.74.1.2

Standardized Phenotyping in BlackRaspberry

2020· article· W7116729290 on OpenAlexaboutno aff
C.M. Bradish, Jill M. Bushakra, Lisa R. Robbins, Eda Karaađaç, Sabrina Jingya Teo, Jamie Willard, Penelope Perkins‐Veazie, Jungmin Lee, Joseph C. Scheerens, Courtney A. Weber, Michael Dossett, Nahla V. Bassil, Chad E. Finn, Gina E. Fernandez

Bibliographic record

VenueJournal of American Pomological Society · 2020
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
Fundersnot available
KeywordsRubusBlowing a raspberryGermplasmTraitRosaceaePhenotypic traitPhenologyRange (aeronautics)

Abstract

fetched live from OpenAlex

Black raspberry ( Rubus occidentalisL.), is one of a group of economically important members of the genus Rubus. In this paper, we describe a multi-state project to phenotype 43 traits in black raspberry. Two mapping populations that had parental material from multiple sources, including wild germplasm from North Carolina, Ontario, and Maine were used to assess phenotypes in 11 geographically distinct locations. A summary of the means, sample size, and range of traits including important phenological stages, flowering, plant and fruit characteristics, and fruit chemistry traits are provided in this paper. Variation in traits across populations, locations, and years was observed but was trait dependent. This phenotypic data will be included in the Genome Database for Rosaceae (GDR) ( http:/www.rosaceae.org/).

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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0010.000

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 head0.048
GPT teacher head0.287
Teacher spread0.239 · 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
Published2020
Admission routes1
Has abstractyes

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