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Record W2266477447 · doi:10.11646/zootaxa.4078.1.1

Living among dragons: A festschrift in honor of Dr. Angelo B. M. Machado on occasion of his 80th birthday (Title page)

2016· article· en· W2266477447 on OpenAlexaff
Ângelo Parise Pinto, Marcela Laura Monné, Dennis R. Paulson, Daniela M. Takiya, Adolfo R. Calor, Marcelo Duarte, Frederico Falcão Salles, Silvio Shigueo Nihei

Bibliographic record

VenueZootaxa · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsOdonataHumanitiesHonorBiologyArtZoologyComputer science

Abstract

fetched live from OpenAlex

ÂNGELO PARISE PINTO*, MARCELA L. MONNE, DENNIS R. PAULSON, DANIELA M. TAKIYA, ADOLFO R. CALOR, MARCELO DUARTE, FREDERICO F. SALLES & SILVIO S. NIHEI (EDS.) *Special Issue Editor. Laboratorio de Biologia e Sistematica de Odonata (LABIOSIS), Departamento de Entomologia, Museu Nacional, Universidade Federal do Rio de Janeiro, Quinta da Boa Vista s/no, Sao Cristovao 20940-040, Rio de Janeiro, RJ, Brazil; odonata_angelo@hotmail.com

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)0.003
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.003

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 head0.010
GPT teacher head0.196
Teacher spread0.186 · 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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