MétaCan
Menu
Back to cohort
Record W7056420183

Effects of Laccaria proxima and fibrous pulp wastes on the growth of container-grown conifers / by De-wei Li

2017· other· en· W7056420183 on OpenAlexfundno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersCanadian Forest ServiceU.S. Forest Service
KeywordsBlack sprucePulp (tooth)LarchSeedlingLarix kaempferi
DOInot available

Abstract

fetched live from OpenAlex

Nine conifer species, Japanese larch {Larix
\nkaempferi), white spruce (Picea glauca) , black spruce (P.
\nmariana), red spruce (P. rubens), jack pine (Pinus
\nbanksiana), mugo pine (P. mugo), red pine (P.
\nresinosa),Japanese black pine (P. thunbergii) and Douglasfir
\n(Psevdotsuga menziesii var menziesii), were tested to
\ndetermine the effective host range of the ectomycorrhizal
\nfungus Laccaria proxima and the possibility of utilizing
\npulp waste as potting medium for containerized seedling
\nproduction. L. proxima significantly improved the growth of
\ncontainer grown jack pine, mugo pine, black spruce, red
\nspruce and Douglas-fir, improved the growth of Japanese
\nblack pine and white spruce and slightly improved the growth
\nof red pine and Japanese larch. Rye grain spawn inoculum was
\nused for mycorrhizal establishment on jack pine seedlings.
\nPulp waste (33% by volume) usually had negative effects on
\ntree seedlings except for Japanese black pine (positive) and
\nDouglas-fir (no significant effect). The interactions of L.
\nproxima and pulp waste varied with host tree species, but
\nwere significantly positive (P < 0.01) for jack pine and
\nblack spruce, and nearly significant for red spruce (P <
\n0.08) . Negative effects were found with Japanese black pine.
\nUp to 8% pulp waste by volume without mycorrhiza
\nimproved the growth of jack pine seedlings over the
\ncontrols, but over 8% pulp waste hindered jack pine seedling
\ngrowth. Ten to 30% of pulp waste was effectively utilized in
\njack pine seedling production in association with L.
\nproxima. Pulp waste with malt extract amendment was used as
\na spawn medium. Pulp waste in seedling production of black
\nspruce, mugo pine, red spruce and Douglas-fir in association
\nwith Ii. proxima and of Japanese black pine without is
\nfeasible, but further research is needed to find out the
\noptimal percentage of pulp waste which can be utilized in
\nseedling production for most tree species.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.384
Threshold uncertainty score0.996

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)0.0050.000

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 head0.223
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueKnowledge Commons (Lakehead University)Same topicMagnetic confinement fusion researchFrench-language works237,207