Erratum: Cross sections for the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>γ</mml:mi><mml:mi>p</mml:mi><mml:mo>→</mml:mo><mml:msup><mml:mi>K</mml:mi><mml:mrow><mml:mo>*</mml:mo><mml:mn>0</mml:mn></mml:mrow></mml:msup><mml:msup><mml:mi>Σ</mml:mi><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>reaction at<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mrow><mml:mi>γ</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn>1</mml:mn><mml:mo>.</mml:mo><mml:mn>7</mml:mn><mml:mtext>−</mml:mtext><mml:mn>3</mml:mn><mml:mo>.</mml:mo><mml:mn>0</mml:mn></mml:mrow></mml:math>GeV [Phys. Rev. C<b>75</b>, 042201 (2007)]
Bibliographic record
Abstract
In Ref. The branching ratio for the first decay is 2/3, and so the cross sections and uncertainties in Ref. [1] need to be multiplied by 3/2. The corrected figures are presented below. The new fit parameters in the Zhao model [2] are a = -2.20 and b = 0.80. The conclusions of Ref. [1] are unchanged. Note that the error bars in these figures include both statistical and systematic uncertainties. For a numerical table, see Ref. [3].
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.007 | 0.013 |
| Meta-epidemiology (broad) | 0.003 | 0.015 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.014 | 0.014 |
| Research integrity | 0.013 | 0.013 |
| Insufficient payload (model declined to judge) | 0.501 | 0.015 |
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; both teacher heads agree on what is shown here.
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".