AN INSIGHT INTO MN (II) CHEMISTRY: A STUDY OF REACTION KINETICS UNDER ALKALINE CONDITIONS
Bibliographic record
Abstract
Transition metals have many industrial and research applications. Also, many biological systems have transition metal ions as cofactors. One of themost extensively studied transition metals is Manganese. Under acidic conditions Mn2+ state is very stable, however, under alkaline condition Mn2+state is readily oxidized to Mn3+ state. In solution, Mn3+ state disproportionate to Mn2+ state and Mn4+ state. Results from this study show thatoxidation of Mn2+ state to Mn3+ state can take place in the presence or absence of oxygen. Also, the oxidation of Mn2+ state to Mn3+ state is faster inthe oxygen rich environment than in inert environment suggesting different reaction kinetics are involved. Finally, the chemistry of aqueous Mn2+ state under alkaline condition is presented.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".