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Record W4289517746 · doi:10.26434/chemrxiv-2022-qwjgp

A borindolizine platform for the design of fluorophores with tunable emissions

2022· preprint· en· W4289517746 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

VenueChemRxiv · 2022
Typepreprint
Languageen
FieldChemistry
TopicSynthesis and Reactivity of Heterocycles
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFluorophoreFluorescenceScaffoldArylMaterials sciencePhotochemistryBoronStokes shiftRational designOptoelectronicsNanotechnologyChemistryOpticsLuminescenceOrganic chemistryPhysicsBiomedical engineeringEngineering

Abstract

fetched live from OpenAlex

A new boron-containing heterocyclic scaffold – borindolizine – is reported as a new heterocyclic scaffold with broadly tunable fluorescence and a high Stokes shift. Two classes of emitters were synthesized through rational scaffold changes resulting in blue-emitting carboxyborindolizines (λmax,em = 431 – 459 nm) and green emitting aryl borindolizines (λmax,em = 488 – 519 nm). Experimental structure-emission trends were used to validate a computational spectral prediction model and subsequently used to design a red-emissive fluorophoric scaffold. A red-emissive (λmax,abs = 370 nm, λmax,em = 635 nm) isoquinolyl borinidolizine was synthesized in excellent agreement with the theoretical emission (λmax,em = 621 nm). These results establish borindolizine as a highly attractive class of fluorescent heterocycle with a highly tunable emission, allowing for custom fluorophore synthesis.

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 categoriesInsufficient payload (model declined to judge)
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 score0.023
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.268
Teacher spread0.217 · 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