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Record W2241484759

Žygių rūšinė sudėtis ir paplitimas skirtingose agrocenozėse

2010· article· lt· W2241484759 on OpenAlex
Sonata Kazlauskaitė, Povilas Mulerčikas, Vytautas Tamutis, Robertas Gritkus, Aurelija Šaluchaitė, Algimantas Žiogas, Algirdas Amšiejus

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

VenueLaba (Lietuvos akademinių bibliotekų direktorių asociacija) · 2010
Typearticle
Languagelt
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsnot available
Fundersnot available
KeywordsMetisComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Tyrimo metu buvo surinkti 13 283 žygiai, priklausę 15 genčių 42 rūšims. Didžiausia žygių genčių įvairovė buvo dirbamoje žemėje po pievos (14 genčių), mažiausia – natūralioje pievoje (11 genčių). Nustatytos eudominantinės gentys Pterostichus ir Harpalus aktyviausios buvo dirbamose agrocenozėse: intensyviai dirbamoje žemėje ir dirbamoje žemėje po pievos. Recedentinių genčių gausa didžiausia buvo dirbamoje žemėje po pievos (3 gentys), o intensyviai dirbamoje žemėje jų visai nebuvo.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.006
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0040.004
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 head0.011
GPT teacher head0.289
Teacher spread0.279 · 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