MétaCan
Menu
Back to cohort
Record W4406150261 · doi:10.26034/la.atl.2004.376

Red luminescence emission from potassium feldspars stimulated by infrared

2004· article· en· W4406150261 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

VenueAncient TL · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsLuminescenceFeldsparAlkali feldsparMaterials scienceMineralogyThermoluminescence datingPhotomultiplierVolcanoSaturation (graph theory)Analytical Chemistry (journal)OpticsOptoelectronicsGeologyChemistryGeochemistryPhysicsComposite materialQuartzEnvironmental chemistry

Abstract

fetched live from OpenAlex

The use of the blue–UV Infrared stimulated luminescence (IRSL) from feldspars in luminescence dating has generally been unsuccessful due to age underestimation related to anomalous fading. The red emission from feldspar may however provide a non-fading alternative. A series of experiments are reported here which investigate IR stimulated (λ = 833 ± 5 nm) red luminescence emission from potassium feldspar. The aim is to demonstrate the potential of red IRSL as an alternative to the widely used UV-blue emission IRSL approaches. Five key factors are optimised to increase the dose-related red IRSL signal, and to decrease the background signal levels. These include photomultiplier tube (PMT) characteristics, detection filter combinations, laser diode intensity, measurement temperature, and substrate related effects. Preliminary measurements are described that illustrate the considerable potential of red IRSL for dating applications, including low sensitivity changes from volcanic potassium feldspars and high dose saturation of red IRSL from sedimentary and volcanic potassium feldspars.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.942

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 head0.198
Teacher spread0.186 · 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