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Record W4399755709 · doi:10.1177/00037028241263567

Landmark Publications in Analytical Atomic Spectrometry: Fundamentals and Instrumentation Development

2024· article· en· W4399755709 on OpenAlexaff
George C.-Y. Chan, Gary M. Hieftje, N. Omenetto, Ove Axner, Arne Bengtson, Nicolas H. Bings, Michael W. Blades, Annemie Bogaerts, Mikhail A. Bolshov, J. A. C. Broekaert, Wing-Tat Chan, José M. Costa‐Fernández, Stanley R. Crouch, Alessandro De Giacomo, Alessandro D’Ulivo, Carsten Engelhard, Heinz Falk, Paul B. Farnsworth, Stefan Florek, Gerardo Gamez, Igor B. Gornushkin, Detlef Günther, David W. Hahn, Wei Hang, Volker Hoffmann, Norbert Jakubowski, Vassili Karanassios, David Koppenaal, R. Kenneth Marcus, Reinhard Noll, John W. Olesik, Vincenzo Palleschi, Ulrich Panne, Jorge Pisonero, Steven J. Ray, Martín Resano, Richard E. Russo, Alexander Scheeline, Benjamin W. Smith, Ralph E. Sturgeon, Elisabetta Tognoni, Frank Vanhaecke, Michael R. Webb, J. D. Winefordner, Lu Yang, Jin Yu, Zhanxia Zhang

Bibliographic record

VenueApplied Spectroscopy · 2024
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsNational Research Council CanadaUniversity of WaterlooUniversity of British Columbia
Fundersnot available
KeywordsDilemmaField (mathematics)Computer scienceInstrumentation (computer programming)Atomic spectroscopyInclusion (mineral)NanotechnologyPerspective (graphical)Narrative reviewData scienceEngineering ethicsEpistemologyManagement scienceSociologyEngineeringPhysicsMaterials sciencePsychologyArtificial intelligenceSocial sciencePhilosophySpectroscopy

Abstract

fetched live from OpenAlex

The almost-two-centuries history of spectrochemical analysis has generated a body of literature so vast that it has become nearly intractable for experts, much less for those wishing to enter the field. Authoritative, focused reviews help to address this problem but become so granular that the overall directions of the field are lost. This broader perspective can be provided partially by general overviews but then the thinking, experimental details, theoretical underpinnings, and instrumental innovations of the original work must be sacrificed. In the present compilation, this dilemma is overcome by assembling the most impactful publications in the area of analytical atomic spectrometry. Each entry was proposed by at least one current expert in the field and supported by a narrative that justifies its inclusion. The entries were then assembled into a coherent sequence and returned to contributors for a round-robin review. A total of 48 scientists participated in this endeavor, contributing a combined list of 1055 individual articles spanning 17 sub-disciplines of spectrochemical analysis into what the current community views as "key" publications. Of these cited articles, 60 received nominations from four or more scientists, establishing them as the most indispensable reading materials. The outcome of this collaborative effort is intended to serve as a valuable resource not only for current practitioners in atomic spectroscopy but also for present and future students who represent coming generations of analytical atomic spectroscopists.

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 score0.088
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.270
Teacher spread0.260 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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