Review of: "The Role of Carbon Dioxide in the Evolution of Intelligence: Solving the Dinosauroid Question"
Bibliographic record
Abstract
This article by Ugo Bardi is clearly written and thought-provoking but falls into the category of pushing an idea based on a correlation, rather than building a plausible case based on a reasonable analysis of relevant mechanisms that would establish possible biological causality.The presentation is highly speculative and treats the relative literature super cially, relying on a limited number of sources, often in the secondary literature.The tone of the argument can be annoying in that the disparate evidence is selectively used, often without proper context and without suf cient attention to statistical variation and uncertainty in the data.As with the dinosaurid idea of Dale Russell, it borders on science ction, but to its credit, it raises ideas not widely considered and so can be considered informed science ction that stimulates the imagination and could inspire the necessary analyses to move the ideas beyond speculation to supported hypotheses.The proposed linkages are suspect and poorly supported, as outlined below, but do have enough credibility that they justify the necessary work that would demonstrate why they are false, should this indeed be the case.Enjoy the arguments, as they are clear, but be skeptical as the speculation (upon speculation) is a long way from being accepted.Weaknesses: The author proposes that an increase in the O2/CO2 ratio drives an increase in intelligence, via a higher encephalization quotient (EQ).The supposed mechanism is disrupted physiology of large brains due to physiological imbalances in the blood that reduce effective O2 levels, such that larger brains would not be possible at low O2/CO2 ratios.Some weaknesses in this argument are as follows:. There have been, globally in the past century, in indoor environments for millennia, and experimentally, variations in O2/CO2 of the magnitude the author proposes would lead to the dif culties that cause reduced function of large brains.This variation could be considered to be 300 to 1000 ppm.However, there is little evidence that 300 to 1000 ppm is causing reduced mental Qeios qeios.
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 | 0.008 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.029 | 0.020 |
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".