Bibliographic record
Abstract
When one reads the words ”heat vision,” it is common to imagine Superman flying through the air, blasting red beams from his eye sockets. Although this is a fairly creative image, the type of “heat vision” found in many snakes is different. When alluding to “heat vision” in snakes, one refers to the ability of certain snake species to sense heat through pit organs. These structures connect with a snake’s sense of touch, with the trigeminal nerves and ganglia being major components of this mechanism. Transient receptor potential cation channel, member A1, or PRTA1, is a protein found in the stems of trigeminal nerves. It is often asserted that the evolution of PRTA1 is directly connected to the evolution of infrared sensory pitbearing snakes. Quand une personne lit les mots ”vision de chaleur,” il est naturel que la première chose qui vient a tête est l’image de Superman qui vole dans le ciel avec des rayons rouges quit sortes de ses yeux. Bien que ceci est une image créative, le type de “vision de chaleur” qui se trouve dans les serpents est très différent. Lorsqu’on parle de “vision de chaleur” dans les serpents souvent on réfère à l’abilité que l’èspece de serpent peut sentir la chaleur à travers de ses organes. Ces structures on des connections avec le sens du toucher d’un serpent, avec les nerves trijumeau et le ganglion qui sont des composants major de cette méchanism. Le canal cationique potentiel de récepteur transitoire, membre A1, ou PRTA1, est un protéin qui se trouve dans les tuyaux des nerves trijumeau. Il est souvent affirmé que l’évolution du PRTA1 est directement connecté à l’évolution des serpents de puits avec sensorielle infrarouge.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".