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Record W6913139448 · doi:10.5281/zenodo.7994940

Parochlus kiefferi

2015· article· en· W6913139448 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsVegetation (pathology)Spring (device)SnowNational parkPhenologySnowmeltMossSTREAMS

Abstract

fetched live from OpenAlex

Parochlus kiefferi (Garrett 1925) On a cross-country skiing trip on 20 February 2015 in the Krkonoše Mountains National Park (Giant Mts.) VS collected a tuft of decomposing vegetation with mosses from a helocrene spring located just next to a ski-track (Fig. 2). This spring is usually covered with snow in the winter, but due to the combination of lack of snowfall during the previous days, sunny weather and slope exposition to the south, it was uncommonly snow-free at that time. The inspection of the collected material back in the laboratory revealed one larva of Parochlus. The identification of Parochlus larvae into species is not possible, but only a single species P. kiefferi is known from the northern hemisphere. Thus, the collected specimen most certainly belongs to this species. P. kiefferi seems to be cold-stenothermic, living mostly in cold springs and upper courses of spring-fed streams (Brundin 1966). It was also reported from large streams with strong current in North America (Brundin 1966) or from moss in a pond fed by ice-melt water in Italian Alps (Lencioni et al. 2007). It is possible that the species emerges just after the snow melts and is no longer present at the locality, as was observed by Wülker (1958) in Feldberg springs. Such phenology would prevent the species from being recorded by conventional sampling, which is usually carried out in the vegetation season. It is worth noting, however, that in some regions the species emerges practically throughout the whole snow-free period: from the beginning of June to the beginning of October in Swedish mountains or from the end of April to the beginning of November in temperate Canada (Brundin 1966). In the Italian Alps, Lencioni et al. (2007) recorded a pupal exuviae in the middle of September. Please see Table 1 for summarized information.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.002

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 head0.041
GPT teacher head0.210
Teacher spread0.169 · 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
Published2015
Admission routes1
Has abstractyes

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