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Record W2048626952 · doi:10.1179/174329407x215320

AFM study of morphological development of zinc electrodeposits

2007· article· en· W2048626952 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

VenueSurface Engineering · 2007
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsMcGill University
Fundersnot available
KeywordsZincNucleationMaterials scienceAtomic force microscopyMetallurgyMorphology (biology)Substrate (aquarium)Chemical engineeringNanotechnologyChemistry

Abstract

fetched live from OpenAlex

Atomic force microscopy was employed successfully to evaluate the morphological development of zinc electrodeposited onto steel substrate. The surface of steel was prepared in electropolished and mechanically polished conditions. Under the same depositing conditions, different types of zinc morphology were observed. Atomic force microscopy study of deposits proposed different mechanism of zinc development. On mechanically polished surface, zinc layered crystals like arrays was developed by individual nucleation of zinc followed by non-oriented growth. Conversely, on electropolished surface, nucleation of zinc followed by oriented growth (lateral growth) was observed on some grains while on the other grains direct incorporation of atoms to the microsteps of steel followed by bunching growth of these microsteps to macrosteps was detected.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.206
Teacher spread0.199 · 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