OH Yields from Gas-Phase Ozonolysis of Isoprene
Bibliographic record
Abstract
1. D. R. Glowacki, A. Goddard, T.L. Malkin, et al,Design of and initial results from a highly instrumented reactor for atmospheric chemistry (HIRAC) Atmos. Chem. Phys., 7,5371–5390, (2007). 2. D. R. Glowacki, A. Goddard and P. Seakins, “Design and Performance of a Throughput-Matched, Zero-Geometric-Loss, Modified Three Objective Multipass Matrix System for FTIR spectrometry” Applied Optics, 46, 32 (2007). T.L. Malkin, A. Goddard, D.E. Heard and P.W. Seakins, “OH yield from O3 + Isoprene reaction” submitted ACPD (2008). 3. R. Gutbrod, E. Kraka, R. N. Schindler and D. Cremer, “A Kinetic and Theoretical Investigation of the Gas-Phase Ozonolysis of Isoprene: Carbonyl Oxides as an Important Source for OH Radicals in the Atmosphere.” J. American Chem. Soc. 119 (31), 7330-7342, (1997). 4. S. M. Aschmann, J. Arey and R. Atkinson “OH radical formation from the gas-phase reactions of O3 with methacrolein and methyl vinyl ketone.” Atmospheric Environment 30(17), 29392943, (1996). 5. A. R. Rickard, D. Johnson, C. D. McGill and G. Marston, “OH Yields in the Gas-Phase reactions of Ozone with Alkenes” J. Phys. Chem. A, 103, 7656, (1999). 6. N. M. Donahue, J. H. Kroll, J. G. Anderson, and K. L. Demerjian, “Direct observation of OH production from the ozonolysis of olefins.” Geophysical Research Letters 25(1), 59-62, (1998). 7. J. H. Kroll, T. F. Hanisco, N. M. Donahue, J. G. Anderson, and K. L. Demerjian. “Accurate, direct measurements of OH yields from gas-phase ozone-alkene reactions using an in situ LIF instrument.” Geophysical Research Letters 28 (20), (2001), 8. A. G. Lewin, D. Johnson, D. W. Price and G. Marston, “Aspects of the kinetics and mechanism of the gas-phase reactions of ozone with conjugated dienes.” PCCP 3(7), 1253-1261 (2001). 9. P. Neeb and G. K Moortgat, “Formation of OH Radicals in the Gas-Phase Reaction of Propene, Isobutene, and Isoprene with O3: Yields and Mechanistic Implications.” J. Phys. Chem. A . 103(45), 9003-9012, (1999). 4. Scavenger Technique
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.002 | 0.001 |
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".