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Record W2067871619 · doi:10.1002/adma.200990071

Organic Semiconductors: Relating the Functional Properties of an Organic Semiconductor to Molecular Structure by nc‐AFM (Adv. Mater. 20/2009)

2009· article· en· W2067871619 on OpenAlexaff
Sarah A. Burke, Jeffrey LeDue, Jessica M. Topple, Shawn Fostner, Peter Grütter

Bibliographic record

VenueAdvanced Materials · 2009
Typearticle
Languageen
FieldEngineering
TopicSurface Roughness and Optical Measurements
Canadian institutionsMcGill University
Fundersnot available
KeywordsMaterials scienceMonolayerOrganic semiconductorNanoscopic scaleSemiconductorOptoelectronicsNanotechnologyAtomic force microscopyExcitation

Abstract

fetched live from OpenAlex

The influence of the molecular scale arrangement on the optoelectronic properties of organic semiconductors can be investigated using noncontact AFM to determine the local structure of molecular islands and probe the local optical excitation response of different molecular-scale structures, report Peter Grutter and co-workers on p. 2029. The cover image shows a 3D rendering of a high-resolution noncontact AFM image of a monolayer of PTCDA molecules trapped in a nanoscale pit in NaCl, one of the structures investigated, under “illumination”.

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 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 score0.004
Threshold uncertainty score0.845

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)0.0010.000

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 head0.012
GPT teacher head0.206
Teacher spread0.194 · 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 teacher head, 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

Citations3
Published2009
Admission routes1
Has abstractyes

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