MétaCan
Menu
← Back to cohort

Ochlerotatus rempeli (Diptera: Culicidae)

2013· article· en· W906679072 on OpenAlexaboutno aff
Smith Stephen M

Bibliographic record

VenueFigshare · 2013
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
Fundersnot available
KeywordsEcologyBiologyAedesZoologyGeographyLarva

Abstract

fetched live from OpenAlex

This fileset contains data relating to the mosquito Ochlerotatus rempeli (Vockeroth) at Baker Lake (Qamanittuaq), Nunavut, Canada. The data comprised a portion of the thesis Smith, S.M. 1970. The biting flies of the Baker Lake region, Northwest Territories (Diptera: Culicidae and Simuliidae). Ph.D. Thesis, The University of Manitoba, Winnipeg. Included in “Oc. rempeli Text.pdf file are: • photographs of the typical, highly unusual habitat of the larvae and pupae; • temperature records from that pool; • photographs of autogenous oogenesis; • data on egg size and photographs of the eggs and egg chorion; • description and figures of the pupa. • Descriptions of the data files associated. The PDF file also contains links to PDFs of the thesis.

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)0.001
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 score0.143
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1430.048

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 head0.017
GPT teacher head0.250
Teacher spread0.233 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueFigshare→Same topicMosquito-borne diseases and control→French-language works237,207→