MétaCan
Menu
← Back to cohort
Record W6894091874 · doi:10.5281/zenodo.7995317

Sublettea coffmani

2017· article· en· W6894091874 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsTrent University
Fundersnot available
KeywordsSetaFrench hornSPINE (molecular biology)LobeNearctic ecozoneDorsum

Abstract

fetched live from OpenAlex

Sublettea coffmani (Roback, 1975) Pupa (n=2). Figs. 3 a-e. Description. Thoracic horn with long apical filaments (Fig. 3a). Robust patches of spines present on segments II-V (Fig. 3b), spine patches on segment IV and V with longer lateral spines (Fig. 3c). Paired spine patches are located in the anterior corners of the ventral intersegmental membrane of sternite VIII. (Fig. 3d). Anal lobe and genital sac as in Fig. 3e; anal lobe with robust patches of spines and long setae (Fig. 3e). Notes. A detailed description of this species is given by Roback (1975). This is the only species of Sublettea described from the Nearctic. Study sites. Lynde Creek, Whitby, Ontario; 43° 54’ 42.27” N 78° 57’ 52.4” W. Ecology and habitats. Larvae of Sublettea inhabit lotic habitats with a preference for cool, clear and fast flowing streams (Ashe and O’Connor 1994). Larvae of S. coffmani construct soft, non-transportable cases of fine sediments, which they attach to stream substrates (Roback 1975). Nearctic distribution: Canada (New Brunswick, 1 st record Ontario); USA (Alabama, Georgia, Kentucky, Mississippi, North Carolina, Pennsylvania, South Carolina, Tennessee, Maryland, Virginia, and West Virginia).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.048

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.032
GPT teacher head0.215
Teacher spread0.184 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicFreshwater macroinvertebrate diversity and ecology→French-language works237,207→