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Record W6931785883 · doi:10.5281/zenodo.7998031

Monopelopia FITTKAU 1962

2022· article· en· W6931785883 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsnot available
Fundersnot available
KeywordsWingCover (algebra)Surface (topology)AbdomenBody surface

Abstract

fetched live from OpenAlex

Key to males of Monopelopia Fittkau from the Oriental and Palaearctic Regions 1. Mid and hind legs with single tibial spur (subgenus Monopelopia Fittkau) ............................... 2 – Mid and hind legs with two tibial spurs (OR: Oriental China) ............................................................ ............... M. (Cantopelopia) zhengi Lin, 2021 2 (1). R 2+3 present ................................................. 3 – R 2+3 absent or faintly indicated ......................... 4 3 (2). Macrotrichia cover entire wing surface (OR: Indonesia) .............................................................. ................... M. (M.) divergens (Johannsen, 1932) – Macrotrichia cover distal third wing surface only (OR: India) ......................... M. (M.) mongpuense Paul, Hazra and Mazumdar, 2014 4 (2) AR <1.2; r-m crossvein pale (PA: Europe; NE: Canada, U.S.A.) .............................................. ...................... M. (M.) tenuicalcar (Kieffer, 1918) – AR> 1.2; r-m crossvein darkened .................... 5 5 (4) AR 1.5; wing surface entirely covered with macrotrichia; abdomen without dark bands (OR: India) .............................. M. (M.) obscurata sp. n. – AR 1.8; wing surface with macrotrichia covering distal third; abdomen with dark bands (OR: India) ................................................ M. (M.) recta sp. n.

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 score0.036
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0360.009

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 head0.029
GPT teacher head0.243
Teacher spread0.213 · 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
Published2022
Admission routes1
Has abstractyes

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