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Record W2054750201 · doi:10.1002/ejic.201300171

A Comprehensive Survey of Cationic Iridium(III) Complexes Bearing Nontraditional Ligand Chelation Motifs

2013· article· en· W2054750201 on OpenAlexaff
Sébastien Ladouceur, Eli Zysman‐Colman

Bibliographic record

VenueEuropean Journal of Inorganic Chemistry · 2013
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsIridiumChemistryCationic polymerizationLigand (biochemistry)PyridineDenticityElectrochemistryBipyridineChelationCombinatorial chemistryPhotochemistryCrystallographyInorganic chemistryPolymer chemistryCrystal structureOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Abstract The useful optoelectronic properties of cationic iridium(III) complexes have been exploited in diverse applications, from visual displays to biological probes to analytical sensors. It is thus not surprising to note the increased recent efforts to document, understand, and ultimately control the photophysical and electrochemical properties of the archetypal cationic iridium(III) complex [(ppy)2Ir(bpy)]+, in which ppyH = 2‐phenylpyridine and bpy = 2,2′‐bipyridine, and decorated versions thereof. Of the ligand architectures explored, the greatest attention has been devoted to ligands that incorporate the common pyridine unit. In this Microreview, we survey the salient emission and electrochemical properties of cationic iridium(III) complexes of the form [(C∧N)2Ir(L∧X)]+, in which C∧N is a cyclometalating ligand and L∧X is a bidentate neutral ancillary ligand, with at least one heterocyclic ligand other than pyridine. We contrast their properties to that of [(ppy)2Ir(bpy)]+ and highlight recent exploits in materials applications.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.219
Teacher spread0.198 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations193
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Inorganic ChemistrySame topicOrganic Light-Emitting Diodes ResearchFrench-language works237,207