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Record W2811284819 · doi:10.3329/dujps.v17i1.37125

A Comparative Analysis of Clitoria ternatea Linn. (Butterfly Pea) Flower Extract as Natural Liquid pH Indicator and Natural pH Paper

2018· article· en· W2811284819 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDhaka University Journal of Pharmaceutical Sciences · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMedicinal Plant Research
Canadian institutionsRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsClitoria ternateaTitrationChemistryButterflyTraditional medicineChromatographyBiologyMedicine

Abstract

fetched live from OpenAlex

Clitoria ternatea Linn (CT) or Butterfly pea flower is a blue flower edible plant, which is commonly used as food colouring. The objective of this study was to develop a liquid and paper pH indicator from CT extracts. The effectiveness of CT extract as pH indicator was evaluated by titration and product testing result against standard indicator. The stability of CT extracts were also conducted in 7 days storage. Findings from this study shows that CT extract is an effective liquid pH indicator except for weak acid samples. Whereas pH paper made from CT extract is effective as pH paper except for testing pH range from 4 -6. It is concluded thatCT extracts can be potentially effective pH indicator.Dhaka Univ. J. Pharm. Sci. 17(1): 97-103, 2018 (June)

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.352
Teacher spread0.304 · 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