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Effects of Acidity on Some Physiological Parameters of Laboratory Re-Synthesized Lichen Cladonia cristatella and Its Isolated Mycobiont

2003· article· en· W2017721685 on OpenAlex
Martin Bačkor, Dianne Fahselt

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Bryologist · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLichenCladoniaCarotenoidChemistryPhotosynthesisBotanyChlorophyllChlorophyll fluorescencePigmentChlorophyll aBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Cellulose-acetate filter disks were found convenient for the cultivation of lichen mycobionts and artificial re-synthesis of lichens, and using this method of culture we tested the effects of acidification on Cladonia cristatella Tuck. Mycobionts subjected to short-term strongly acidic conditions showed decreased formazan production compared to colonies grown at optimal pH 5.0. Disk-supported synthetic lichens grown at pH 3.0 or 5.0 exhibited no significant differences in pigment chemistry or photosynthetic efficiency compared to those at pH 7.0, but all of these parameters changed at pH 1.5. Chlorophyll a integrity significantly decreased under all treatments involving acidified water, with the highest amount of degradation at pH 1.5. At pH 1.5, significantly decreased concentrations of both β-carotene and total carotenoids were observed. A significant decrease in chlorophyll a fluorescence was also shown at pH 1.5.

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)0.001
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 score0.311
Threshold uncertainty score0.202

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.021
GPT teacher head0.219
Teacher spread0.198 · 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