Spectra– Structure Correlations in the Mid‐ and Far‐Infrared
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.
Bibliographic record
Abstract
Abstract A rapid and simple method for obtaining preliminary information on the identity or structure of an organic molecule is to record an infrared absorption spectrum of the compound. Infrared spectroscopy gives information on molecular structure through the frequencies of vibrations of the molecule. From knowledge of group frequencies, direct information about the presence (or absence) of certain functional groups in an unknown compound is available from an infrared spectrum. Comparison of the spectrum of an unknown material with the spectra of known compounds can lead to the identification of the unknown substance. This section concentrates on spectra–structure correlations in the mid‐ and far‐infrared. An introduction to group frequencies and factors affecting them is given. Tables of group frequencies are provided and a systematic method for the analysis of a spectrum is presented. Examples on the use of spectra–structure correlations are given. A bibliography of the methods and references to collections of spectra are included.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.035 | 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 it