STRUCTURAL BASIS OF ANTIFREEZE PROTEIN ACTION
Bibliographic record
Abstract
Antifreeze Proteins (AFPs) modify the growth rates and orientations of ice crystal facets through attainment of the best structural match. The insect-type AFPs have ice binding surfaces (IBS) with regularly spaced binding intervals in two directions that engage the primary ice surfaces and reduce their growth rates preferentially. The primary ice surfaces are kinetically stable and have fixed orientations, since they are strongly bonded in two directions. The fish-type AFPs have one-dimensional helical and irregular globular IBSs that are either linearly extended with regular ice binding intervals, or have ice binding sites lacking spacing regularity. They adjust the orientations of the secondary ice surfaces, that have indeterminate face indices since they are strongly bonded in only one direction. The fish-type AFPs stabilize secondary ice surfaces and adjust their orientations by mimicking strong bonding directions, that are not present in the ice structure. The theory agrees with experimental observation and explains hitherto unexplained phenomena. The observed broad variation in prismatic and, more importantly, pyramidal ice crystallites produced in the presence of fish-type AFPs is explained, since these faces are secondary. The observed crystals triggered by most insect-type AFPs are disk shaped, because they consist of primary ice surfaces. The allegedly exceptional ice pyramids triggered by the insect-type TmAFP are the primary ice pyramid with fixed indices, and entirely different from the pyramids of the fish-type AFPs.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".