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Record W3188956876

Développement d'un lit de scories d'aciéries pour la déphosphatation des eaux usées

2009· article· fr· W3188956876 on OpenAlexaboutno aff
Zakariae Abderraja Anjab

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsnot available
Fundersnot available
KeywordsSorptionEnvironmental engineeringSlag (welding)HumanitiesEnvironmental scienceChemistryMetallurgyMaterials scienceArtAdsorption
DOInot available

Abstract

fetched live from OpenAlex

Industrie piscicole au Quebec -- Impacts environnementaux de la pisciculture et ses rejets -- Politique de developpement durable relative aux activites piscicoles terrestres -- Techniques d'enlevement de P -- Le phosphore -- Materiaux reactifs pour l'enlevement de P -- Mecanismes reactionnels du phosphore -- Revalorisation des scories d'acieries -- Risques pour la sante et l'environnement -- Etude des ecoulements dans les reacteurs -- Phosphorus removal from wastewater using slag filter : effect of slag particle size on treatment performance and hydrodynamics -- Material and methods -- Bench scale system -- Treatment performances -- Tracer tests -- Effect of P loading rate on P treatment performances and on pH -- Calcium concentration -- Slag P sorption capacity -- Hydrodynamic behaviour -- Effect of P loading rate on P removal efficiency, pH and Ca -- Hydraulic performances -- P sorption capacity : effect of slag particles size distribution -- Capacite de retention du P -- Performances hydrauliques -- Elements de conception d'un lit de scories d'acieries a pleine echelle.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.246
Teacher spread0.233 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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
Published2009
Admission routes1
Has abstractyes

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Same topicPhosphorus and nutrient managementFrench-language works237,207