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Record W6893650518 · doi:10.5281/zenodo.3793066

Bisnius cephalotes

2008· article· en· W6893650518 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2008
Typearticle
Languageen
FieldComputer Science
TopicGaze Tracking and Assistive Technology
Canadian institutionsCanadian Forest ServiceNatural Resources CanadaNova Scotia Hospital
Fundersnot available
KeywordsNova scotiaFaunaFish <Actinopterygii>Historical recordVegetation (pathology)China

Abstract

fetched live from OpenAlex

Bisnius cephalotes (Gravenhorst, 1802) NEW BRUNSWICK: York Co.: New Maryland, 15.IV.2004, R.P. Webster, in compost in mixed forest area, (3, RWC). Bisnius cephalotes is newly recorded from New Brunswick (Fig. 5), previously having been reported from the region from Nova Scotia (Smetana 1995; Majka and Klimaszewski 2008). In the Old World it is widely distributed across the Palaearctic region, south to North Africa and east through Siberia to northeastern China (Herman 2001; Smetana 2004b; Alonso-Zarazaga 2007). In North America, however most records are either from the northeast or the northwest (Smetana 2006). Th e earliest North American records are from 1860 in Québec (Bain 1999). Bisnius cephalotes is a synanthropic species frequently found in various decaying plant or animal material such as carrion, compost, and dung. It is also found in bird and rodent nests (Smetana 1995).

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: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.008

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 head0.046
GPT teacher head0.235
Teacher spread0.190 · 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
Published2008
Admission routes2
Has abstractyes

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