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Record W2330291574 · doi:10.1016/j.gheart.2014.03.1880

PT092 Doppler Timing Intervals For Discriminating “True” Severe Stenosis From “Pseudo-severe” Stenosis In Low-flow Low-gradient Aortic Stenosis By Transthoracic Echocardiography

2014· article· en· W2330291574 on OpenAlexaff
Adrian Chong, Howard Leong‐Poi, Alicia Bartlett, S. Wahi

Bibliographic record

VenueGlobal Heart · 2014
Typearticle
Languageen
FieldEngineering
TopicPhotoacoustic and Ultrasonic Imaging
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsZBLANMedicineFull width at half maximumStenosisDoppler effectGallateAnalytical Chemistry (journal)OpticsFiber laserOptoelectronicsWavelengthMaterials scienceCardiology

Abstract

fetched live from OpenAlex

Upon excitation at 808 nm laser diode, an intense 1.47 μm infrared fluorescence has been observed with a broad full width at half maximum (FWHM) of about 124 nm for the Tm3+-doped TeO2-K2O-La2O3 glass. The Judd–Ofelt parameters found for this glass are: Ω2 = 5.26 × 10−20 cm2, Ω4 = 1.57 × 10−20 cm2 and Ω6 = 1.44 × 10−20 cm2. The calculated emission cross-sections of the 1.47 μm transition are 3.57 × 10−21 cm2, respectively. It is noted that the gain bandwidth, σe × FWHM, of the glass is about 440 × 10−28 cm3, which is significantly higher than that in ZBLAN and Gallate glasses, a high gain of 35.5 dB at 1470 nm can be obtained in a TKL glass fiber. TeO2-R2O (R = Li, Na, K)-La2O3 glasses has been considered to be more useful as a host for broadband optical fiber amplifier.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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.

Study designSimulation or modeling
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
Published2014
Admission routes1
Has abstractyes

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