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Record W6922044443 · doi:10.1139/cjps2013-2491

AAC Meadowview alfalfa

2014· article· en· W6922044443 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBioOne Complete (BioOne) · 2014
Typearticle
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsVerticillium wiltForageCultivarCropAgricultureCrop yield

Abstract

fetched live from OpenAlex

Acharya, S. N. 2014. AAC Meadowview alfalfa. Can J. Plant Sci. 94: 187-189. AAC Meadowview alfalfa (Medicago sativa) was developed by the Agriculture and Agri-Food Canada Research Centre, Lethbridge, Alberta. This cultivar, tested as AT05 in Western Forage Trials, is derived from parental clones selected for high forage yield under low pH conditions and resistance to both bacterial wilt (BW) (caused by Corynebacterium insidiosum) or Verticillium Wilt (VW) (caused by Verticillium albo-atrum Reinke & Berthold). When grown under irrigated and rainfed conditions of western Canada AT05 out yielded Beaver (check) by 5%. AAC Meadowview is well suited to forage and seed production in western Canada where VW and acidic soil conditions may be of concern. AAC Meadowview received Canadian Food Inspection Agency's registration number 7402 on 2013 Jun. 06. Breeder seed for the cultivar will be produced by AAFC and the multiplication and distribution rights were awarded to Northstar Seeds through a competitive process.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.969

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.318
GPT teacher head0.244
Teacher spread0.074 · 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