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Record W4393194668 · doi:10.1007/s42773-024-00326-1

Correction: Biochar affects compressive strength of Portland cement composites: a meta-analysis

2024· article· en· W4393194668 on OpenAlexaff
Zhihao Zhao, Ali El‐Naggar, Johnson Kau, Chris Olson, Douglas Tomlinson, Scott X. Chang

Bibliographic record

VenueBiochar · 2024
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPortland cementCompressive strengthBiocharComposite materialMaterials scienceCementWaste managementEngineeringPyrolysis

Abstract

fetched live from OpenAlex

of Fig. 1 and Fig. 2 and those of Fig. S1 and Fig. S2 have been incorrectly reversed.

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)0.011
metaresearch head score (Gemma)0.122
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.124
Threshold uncertainty score0.414

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.122
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0030.005
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0060.002
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.1240.015

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 head0.030
GPT teacher head0.259
Teacher spread0.229 · 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 designMeta-analysis
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

Citations4
Published2024
Admission routes1
Has abstractyes

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