Trends in Analytical Developments and Earth Science Applications in LA‐ICP‐MS and LA‐MC‐ICP‐MS for 2004 and 2005
Bibliographic record
Abstract
This review of laser ablation‐inductively coupled plasma‐mass spectrometry includes research that employed quadrupole instruments, and single‐collector and multicollector magnetic sector field instruments. The most important trend in 2004–2005 was the growing appreciation that small matrix effects in LA‐(MC)‐ICP‐MS need to be addressed in order to produce highly precise and accurate data by the method. The issue is most acute for isotope ratio measurements that require standard‐sample‐standard bracketing but can also be important for certain elemental analysis. Matrix‐dependent elemental and isotopic fractionations were studied from the standpoint of laser‐sample interactions and the behaviour of laser‐generated particles in the ablation cell, transfer tubing and ICP torch. Innovations in LA‐(MC)‐ICP‐MS involved signal smoothing, in torch laser ablation, on‐line isotope dilution and molecular oxide monitoring. Other important research was carried out on the calibration and homogeneity of various reference materials; and the exploration of mature (in situ U‐Pb geochronology) and emerging (apatite fission‐track chronometry, U‐Th/He thermochronology, boron/strontium/uranium‐series isotopic microanalysis) applications in the Earth sciences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".