logistic surrogate model

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

• Logistic success surrogateconcept0.848
  Phenomenological fit P(success)=σ(αS+β) used to summarize sharpness and midpoints.
• The logistic surrogate is a phenomenological fit, not a mechanistic derivationclaim0.815
  Caveat about the threshold analysis
• logistic fitting for shot thresholdsmethod0.750
  Fit a sigmoid to accuracy vs. k to estimate k50 and phase width.
• Logistic Regression Probemethod0.750
  Standard linear probing technique; compared to mass-mean probing for classification accuracy and causal implication
• The logistic fit for threshold behavior is a phenomenological surrogate for interpretability, not a mechanistic derivationclaim0.747
  Authors' explicit epistemic limitation on the threshold model
• Logistic Fit for Shot Transitionsmethod0.727
  Phenomenological method for fitting accuracy-vs.-shot curves to extract k50, k90, phase width
• Deterministic Causal Modelconcept0.713
  Formal representation of algorithms as directed acyclic graphs computing functions f_A
• Bayesian model evidenceconcept0.705
  The probability of sensory data under a generative model; negative log evidence is bounded by free energy.