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Record W2368284722

Effects of Water Stress on Photosynthetic Characteristics of Spruce

2007· article· en· W2368284722 on OpenAlex
Zhang Yu

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

VenueZhiwu yanjiu · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsScience North
Fundersnot available
KeywordsTranspirationPhotosynthesisStomatal conductanceWater stressWater-use efficiencyWater contentHorticultureRespiration rateBotanyBiologyChemistryRespiration
DOInot available

Abstract

fetched live from OpenAlex

Photosynthetic characteristics of 3-years-old Korean spruce and Nenjiang spruce seedlings were studied under different water conditions in order to explore their adaptation mechanism to water stress. The results showed that maximum photosynthetic rate (Pmax)under different light reduced with the reducing of soil moisture content, and the reduction of Nenjiang spruce is smaller; apparent quantum yield (AQY),transpiration rate(Tr),stomatal conductance (Gs) also decreased. Dark respiration rate(Rd)and water use efficiency(WUE) rised firstly and then descended as drought become intensified, however, intercellular (Ci)descended firstly then rised. These results showed that photosynthesis was limited by non-stomatal factor under serious drought. It is indicated that the ability to water stress of Nenjiang spruce is stronger than that of Korean spruce by comparing above indexes.

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 score0.363
Threshold uncertainty score0.974

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)0.0010.000

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 head0.003
GPT teacher head0.172
Teacher spread0.169 · 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