Bibliographic record
Abstract
Abstract The article contains sections titled: Introduction Optically Pumped Solid‐State Lasers Ruby Laser Neodymium Lasers Widely Tunable Lasers Color‐Center Lasers Fiber Lasers Diode Lasers Vertical Cavity Surface Emitter Lasers Visible Laser Diodes Quantum Dot Lasers Quantum Cascade Lasers Quantum Microcavity Lasers Atomic and Ionic Gas Lasers Helium–Neon Laser Argon and Krypton Lasers Molecular Gas Lasers Carbon Dioxide Laser Nitrogen Laser Iodine Laser Excimer Lasers Dye Lasers Pulsing Techniques Cavity Dumping Q‐Switching Mode‐Locking Ultrafast Pulse Compression Continuum Generation Short Wavelength Coherent Radiation Frequency Conversion Frequency Doubling Optical Parametric Oscillators Frequency Tripling and Four‐Wave Mixing Higher Order Harmonic Generation Free‐Electron Laser Tabletop X‐ray Lasers
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.315 | 0.150 |
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".