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Record W2393803444

Studying On The Growth Characteristics of The Black Spruce and the White Spruce During the seedling stage

2005· article· en· W2393803444 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCivil and Geotechnical Engineering Research
Canadian institutionsnot available
Fundersnot available
KeywordsSeedlingBlack sprucePinus koraiensisProvenanceBiologyWhite (mutation)HorticultureBotanyAdaptabilityEcologyTaiga
DOInot available

Abstract

fetched live from OpenAlex

Through this experiment we studied the growth characteristics of 3 Canadian provenances of Black Spruce and 4 Canadian provenances of White Spruce and the local species of Picea Koraiensis during the seedling stage.analyzing of data of height and radial growth of annual seedling in during the seedling stage,the results showed that height growth of 3 Chinese Spruce species in during the seedling stage.The radial growth wasn't significantly different.The order of the height growth of 3 Chinese Spruce species during the seedling stage is:White Spruce Black Spruce Picea Koraiensis.At the same time we have also done the provenance trials of Black Spruce and the White Spruce.The results indicate that the provenance of the 7th White Spruce and the 3rd Black Spruce has better adaptability of height and radial growth in this area.So they can be the superior provenances of this introducing experiment.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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