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Record W6931668755 · doi:10.5281/zenodo.6080343

Agrenia polymorpha Fjellberg 1986

2016· article· en· W6931668755 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicbioluminescence and chemiluminescence research
Canadian institutionsnot available
Fundersnot available
KeywordsMossHolotypeFresh waterPottiaceaeMarmot

Abstract

fetched live from OpenAlex

polymorpha Fjellberg, 1986: 96. Agrenia. Holotype: 1 (alcohol). [Epitokous, reproductive male (supermale)] Canada. Alb[erta], Kananaskis, Marmot Creek, 27.vi.1983, wet moss on stones, 2030 m, 184/83, A. Fjellberg (CNC 165645, Type No. 21206). Paratypes: 20 (alcohol) and 3 (2 slides: female; “super male” and “shorthaired male”), same collection as holotype (CNC 166152 and 165072–165073, respectively); 53 (alcohol) and 4 (2 slides: 2 females and 2 males, including “1 short-haired male” and “1 neutral male”) from Canada, Alb[erta], Kananaskis, French Creek, 2, waterfall, moss on stones, 16.vi.1984, A. Fjellberg (CNC 166150 and 165076–165077, respectively); 6 (alcohol) and 3 (2 slides: 2 “super” females and 1 male) from Canada. Alb[erta], Kananaskis, 4.vii.1983, wet moss at water reservoir, research centre, 1400 m, 234/83, A. Fjellberg (CNC 166151 and 165074–165075, respectively).

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: Other
Teacher disagreement score0.126
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.004

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 head0.019
GPT teacher head0.238
Teacher spread0.219 · 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
Published2016
Admission routes1
Has abstractyes

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