Transport, Magnetic and Optical Properties of a Quasi-Two-Dimensional Organic Metal Based on BEDO-TTF (Bis-(Ethylenedioxy) Tetrathiafulvalene)
Bibliographic record
Abstract
Polarized reflectivity spectra, tight binding band structure calculations as well as magnetoresistance and magnetization measurements have been carried out for the new quasi-two-dimensional organic conductor β″-(BEDO-TTF) 5 [CsHg(SCN) 4 ] 2 . Polarized reflectivity and optical conductivity spectra have shown that at low temperatures this salt exhibits metallic behaviour in the direction perpendicular to the BEDO-TTF stacks, but non-metallic behaviour in the direction parallel to the stacks. It is supposed that the non-metallic behaviour is due to the dimerization of BEDO-TTF molecules in the stacks at low temperatures. Tight binding calculations suggest that the Fermi surface can be described as containing two contributions: a closed two-dimensional portion associated with holes and a open, pseudo-one-dimensional portion associated with electrons. Shubnikov-de Haas and de Haas-van Alphen oscillations have shown that some frequencies of their complicated Furie spectra are in good agreement with the calculated Fermi surface. The other frequencies of the spectra can be well understood in the frame of the quantum interference effect. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".