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ВЛИЯНИЕ ТЯЖЕЛЫХ МЕТАЛЛОВ НА ДИНАМИКУ ЧИСЛЕННОСТИ И ФЛУОРЕСЦЕНТНЫЕ ХАРАКТЕРИСТИКИ PROROCENTRUM FORAMINOSUM (DINOPHYTA)

2023· article· ru· W4367610169 on OpenAlex
Жанна Васильевна Маркина, Альбина Васильевна Огнистая, Антон Андреевич Зинов

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueРоссийский журнал прикладной экологии · 2023
Typearticle
Languageru
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsBotanyBiologyCadmiumChlorella vulgarisChlorophyceaeAlgaeChlorophytaChemistry

Abstract

fetched live from OpenAlex

Проведена оценка динамики численности, внешнего вида клеток, флуоресценции хлоропласта и зеленой автофлуоресценции клеток (ЗАФ) динофлагелляты Prorocentrum foraminosum при воздействии тяжелых металлов: кадмия Cd2+, никеля Ni2+ и свинца Pb2+ в концентрациях 10 и 20 мкг/л. Показано, что все металлы в изученных концентрациях оказали ингибирующее влияние на численность клеток: наименьшее воздействие оказал Cd2+. Морфологически клетки не изменялись при воздействии Cd2+, Pb2+, а при добавлении Ni2+ отмечена деформация клеток. Флуоресценция хлоропласта изменялась при воздействии металлов, за исключением Cd2+. В целом, ЗАФ не изменялась при наличии в среде Cd2+, увеличивалась при добавлении Ni2+, снижалась – Pb2+. Предложено использовать ЗАФ для экспресс оценки токсичности веществ и качества вод.
 Список литературы
 
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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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.046

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 head0.199
Teacher spread0.179 · 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