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Record W4394775107 · doi:10.21685/2500-0578-2023-4-5

A BRIEF STUDY ON THE GEOGRAPHIC DISTRIBUTION OF MICROPSECTRA RADIALIS GOETGHEBUER, 1931 (DIPTERA, CHIRONOMIDAE)

2023· article· en· W4394775107 on OpenAlex
Roman P. Gorbunov

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

VenueRussian Journal of Ecosystem Ecology · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsChironomidaeGeographyDistribution (mathematics)BiologyZoologyEcologyMathematicsLarva

Abstract

fetched live from OpenAlex

Micropsectr a radialis is an univoltine cold-water species of chironomids, typical for high-mountain lakes in Western Europe. Studies show its presence in lakes in Asia region and in small rivers with groundwater discharge in the middle zone of European Russia. There was a record on Baffin Island in the Nearctic region. Thus, this species has a discontinuous range and may be distributed more widely. The purpose of the study was to determine climatic factors that limit the distribution of this species and the expected areas of its inhabitance. In order to research M. radialis distribution we collected literature data on its findings and made range model, based on 20 bioclimatic parameters and 119 locations using the Maxent program. There are two key bioclimatic parameters regulate the model: the average temperature of the coldest quarter and the average annual monthly temperature range. The first parameter directly affects the model, while the second one has very low direct contribution. Nevertheless, excluding the second parameter significantly reduces the accuracy of the model. The first parameter probably reflects the bioclimatic conditions of Western Europe with most of the findings, while the second parameter allows including a few finds from Asia. According to the model, supposed habitats of the species in the Nearctic are Newfoundland, the Great Lakes, the mountains of British Columbia, and southern Alaska.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.198
Teacher spread0.186 · 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