MétaCan
Menu
Back to cohort
Record W4387925661 · doi:10.55449/congea.14.23.xi-023

A INFLUÊNCIA DA CONTAMINAÇÃO DO CEMITÉRIO DE HUMAITÁ/AM EM ÁREAS ADJACENTES

2023· article· pt· W4387925661 on OpenAlex
Marcelo A. Soares, Luan Cavalcante, Harumy Noguchi, Mariana Souza

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnais Congresso Brasileiro de Gestão Ambiental · 2023
Typearticle
Languagept
FieldEnvironmental Science
TopicGeography and Environmental Studies
Canadian institutionsImpact
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

A tradio de se enterrar pessoas, que tem origem na cultura judaico-cristo, foi muito usada e continua a ser nos dias atuais, embora seja uma forma tradicional de cuidar dos mortos e honrar suas memrias, essa prtica pode causar grande potencial de impacto ambiental e prejuzo sade da populao das reas adjacentes, causando a contaminao do solo por necrochorume que acaba chegando s guas subterrneas.Desta forma, o referido trabalho tem como objetivo analisar se as reas

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.007

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 head0.020
GPT teacher head0.256
Teacher spread0.236 · 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