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Record W2094859771 · doi:10.1017/s0960428603000052

USE OF DIAGNOSTIC SSR MARKERS FOR IDENTIFICATION OF LARIX LYALLII AND L. OCCIDENTALIS (PINACEAE)

2003· article· en· W2094859771 on OpenAlex
Shaheer Nadeem, Barry Jaquish, Craig Newton, P. D. Khasa

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

VenueEdinburgh Journal of Botany · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Studies and Applications
Canadian institutionsGovernment of British ColumbiaBC Research (Canada)University of Toronto
Fundersnot available
KeywordsLarchPinaceaeBiologySporophyteBotanyChamaecyparisIdentification (biology)MicrosatelliteForestryPinus <genus>GeographyGenetics

Abstract

fetched live from OpenAlex

Two species-specific microsatellite or simple sequence repeat (SSR) markers (UAKLly10a and UAKLla1) were used to distinguish Larix lyallii Parl. (subalpine larch) from L. occidentalis Nutt. (western larch) (Pinaceae). These markers can easily be used for rapid identification of the two species at any stage in the sporophyte phase of the life cycle. In the future, they should prove to be an invaluable tool for determining the possible occurrence and magnitude of introgressive hybridization in overlap zones between the two species. They are also expected to be useful in validating controlled crosses between L. lyallii and L. occidentalis and for certification purposes in reforestation and tree improvement programmes aimed at producing genetically improved hybrid stock.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.761
Threshold uncertainty score0.139

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.028
GPT teacher head0.241
Teacher spread0.213 · 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