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Record W2047767004 · doi:10.5586/asbp.1986.035

Soil-vegetation relationships on a cobbly limestone floodplain. Anticosti Island, Quebec

2014· article· en· W2047767004 on OpenAlexaffabout
Line Gauthier, Marieclair Dumont, Miroslav M. Grandtner

Bibliographic record

VenueActa Societatis Botanicorum Poloniae · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsVegetation (pathology)ShrubHerbaceous plantEcological successionFloodplainCalcareousSaturation (graph theory)Environmental scienceSubstrate (aquarium)Hydrology (agriculture)Soil waterEcologyForestryGeologyBiologyGeographyBotany

Abstract

fetched live from OpenAlex

The limestone floodplain of the Galiote River. Anticosti Island (Quebec) is occupied by 4 shrub associations: Dryadetum drummondi (37%). Juniperetum horizontalis (15%). Dryadetum integrifolae (4%) and Potentilletum fruticusae (3%) as well as by 6 less Important communities. primarily herbaceous. Four new subassociations are presented: D. d. dryadetosum drummondii. D. d. danthonietosum spicatae, D. i. juniperetosum horizontalis and J. h. dryadetosum integrifoliae. The vegetation colonizes soil representative of the Regosolic. Brunisolic and Gleysolic orders, composed of calcareous material at pH greater than 7 with a base saturation capacity of more than 100%. These soils are first colonized by pioneer plants such as Dryas. which stabilize the substrate thus facilitating the establishment of a less specialized vegetation and leading finally to forest development. This succession follows a topographical gradient that runs from the river to the forest; the river being the principle element determining the distribution of the described plant communities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.016
GPT teacher head0.208
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2014
Admission routes2
Has abstractyes

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