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Record W3195469341 · doi:10.1016/j.eti.2021.101900

Model sorption of industrial wastewater containing Cu <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e666" altimg="si4.svg"> <mml:msup> <mml:mrow/> <mml:mrow> <mml:mi mathvariant="bold">2+</mml:mi> </mml:mrow> </mml:msup> </mml:math> , Cd <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e674" altimg="si4.svg"> <mml:msup> <mml:mrow/> <mml:mrow> <mml:mi mathvariant="bold">2+</mml:mi> </mml:mrow> </mml:msup> </mml:math> , and Pb <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e682" altimg="si4.svg"> <mml:msup> <mml:mrow/> <mml:mrow> <mml:mi mathvariant="bold">2+</mml:mi> </mml:mrow> </mml:msup> </mml:math> using individual and mixed rice husk biochar

2021· article· lv· W3195469341 on OpenAlex

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

VenueEnvironmental Technology & Innovation · 2021
Typearticle
Languagelv
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsMcGill University
FundersNational Natural Science Foundation of China
KeywordsSorptionHuskBiocharFreundlich equationAdsorptionWastewaterChemistryMetal ions in aqueous solutionNuclear chemistryIndustrial wastewater treatmentMetalEnvironmental engineeringEnvironmental scienceOrganic chemistryBotany

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0030.006
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.004
Science and technology studies0.0050.007
Scholarly communication0.0030.006
Open science0.0050.008
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0590.005

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 head0.023
GPT teacher head0.239
Teacher spread0.216 · 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