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Record W7096702903

DEFENCE RESEARCH ESTABLISHMENT OTTAWA

2016· article· en· W7096702903 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLimitingPolarization (electrochemistry)SemiconductorEnergy conversion efficiencyEquivalent series resistanceElectrodeCadmium telluride photovoltaicsSolar energyIrradiance
DOInot available

Abstract

fetched live from OpenAlex

Three photoelectrochemical devices, developed at Simon Fraser University, employing electrochemically deposited cadmium selenide photo-anodes, a polysulphide redox'electrolyte and an in situ energy storage com-partment were evaluated at DREO. The photoelectrochemical devices were initially tested using tungsten filament lamps, and the evaluation was com-pleted with a xenon lamp which closely matched a solar spectrum corresponding to AM1 (air mass 1) conditions having an irradiance level of 889 Wm-2. V4 Maximum power output of the devices was in the 10-20 mW range-re- _ _ sulting in a solar (AM1) to electrical conversion efficiency of < i%. A fill-factor approaching 0.25 was typical for the photoelectrochemical cells examined. Counter electrode polarization and electrolyte light absorption were identified and evaluated as efficiency limiting factors. Proposed loss mechanisms are: series resistance In the semiconductor bulk, electron tunnel-q • ing to surface states, current carrier losses at electron-hole recombination.-

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.467
Threshold uncertainty score0.666

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0060.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5330.263

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 head0.132
GPT teacher head0.441
Teacher spread0.309 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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Same topicPharmacological Effects and Toxicity StudiesFrench-language works237,207