Logistic surrogate fitting

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• The logistic surrogate is a phenomenological fit, not a mechanistic derivationclaim0.844
  Caveat about the threshold analysis
• Logistic success surrogateconcept0.817
  Phenomenological fit P(success)=σ(αS+β) used to summarize sharpness and midpoints.
• logistic fitting for shot thresholdsmethod0.812
  Fit a sigmoid to accuracy vs. k to estimate k50 and phase width.
• Logistic Fit for Shot Transitionsmethod0.778
  Phenomenological method for fitting accuracy-vs.-shot curves to extract k50, k90, phase width
• The logistic fit for threshold behavior is a phenomenological surrogate for interpretability, not a mechanistic derivationclaim0.771
  Authors' explicit epistemic limitation on the threshold model
• Logistic Regression Probemethod0.748
  Standard linear probing technique; compared to mass-mean probing for classification accuracy and causal implication
• sigmoid fittingmethod0.736
  Fitting accuracy-vs-shot curves with logistic functions to extract k50 and width.
• Logistic regression correctness probemethod0.729
  Logistic regression trained on GSM8k training set to predict answer correctness from projection features along reflection direction