MétaCan
Menu
Back to cohort
Record W2782600904 · doi:10.1111/aab.12408

Pecan phenology in Southeastern China

2018· article· en· W2782600904 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Applied Biology · 2018
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsUniversity of British Columbia
FundersSpecial Fund for Forest Scientific Research in the Public WelfarePriority Academic Program Development of Jiangsu Higher Education Institutions
KeywordsPhenologyOrchardBiologyDormancyCultivarAgroforestryAgronomyHorticultureBotany

Abstract

fetched live from OpenAlex

Abstract Pecan ( Carya illinoensis ) is heterodicogamous, which often leads to unstable yield of its nut crops. Relating pecan orchard management to the phenological stage of the trees is the key to increasing yields; however, describing morphology alone does not lead to an orchard management system that is simple and practical. In this work, we extend the BBCH (Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie) coding method to describe the morphology of the protogynous Mahan pecan cultivar over two consecutive years in southern China. Eight main growth stages, from vegetative bud dormancy to fruit harvest, were described and each phenological period was photographed. Pecan orchard management activities were listed for each stage in pecan BBCH scale to allow orchard managers to better manage their trees. This codification will facilitate breeding, conservation of genetic resources and general orchard management of this commercial crop. As well, recording the dates of various morphological stages over time will allow the influence of global climate change on pecan development to be tracked.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

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

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 head0.032
GPT teacher head0.322
Teacher spread0.290 · 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