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Record W7133041180

Photosensitized reactions on urban film surfaces

2008· dissertation· W7133041180 on OpenAlexfundno aff
Sarah Anne Styler

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldMedicine
TopicMedicinal Plant Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPyreneOzonePhotodissociationImpervious surfaceFluorescenceNitrate
DOInot available

Abstract

fetched live from OpenAlex

Urban films are formed on impervious surfaces in urban environments and are composed of a complex mixture of organic and inorganic compounds. In this thesis, the interaction of film components with light and atmospheric oxidants was investigated. Two separate but related projeci:s were undertaken. The photoenhancement of the heterogeneous reaction of ozone with solid pyrene films (SF pyrene) and pyrene contained in model urban films (UF pyrene) was examined using a laser-induced fluorescence technique. The ozonation of SF pyrene displayed a moderate light enhancement, the magnitude of which is insufficient to explain previous observations of light-enhanced ozone uptake by solid pyrene surfaces. These results indicate that surface reactivity cannot always be correctly predicted using gas-phase observations. A suite of environmentally relevant photosensitizers were tested for their ability to enhance nitrate photolysis on model urban film surfaces. No enhancement was observed in the presence of any of the additives.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.037
GPT teacher head0.347
Teacher spread0.310 · 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
Published2008
Admission routes1
Has abstractyes

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