The logistic surrogate is a phenomenological fit, not a mechanistic derivation

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• The logistic fit for threshold behavior is a phenomenological surrogate for interpretability, not a mechanistic derivationclaim0.883
  Authors' explicit epistemic limitation on the threshold model
• Logistic surrogate fittingmethod0.844
  Fitting a logistic function to success probability as a function of S or shot count to estimate midpoints and widths.
• logistic surrogate modelmethod0.815
  Sigmoid fit linking S to success probability.
• Logistic success surrogateconcept0.779
  Phenomenological fit P(success)=σ(αS+β) used to summarize sharpness and midpoints.
• logistic fitting for shot thresholdsmethod0.766
  Fit a sigmoid to accuracy vs. k to estimate k50 and phase width.
• Logistic Fit for Shot Transitionsmethod0.753
  Phenomenological method for fitting accuracy-vs.-shot curves to extract k50, k90, phase width
• How can we produce a principled method for classifying harmful divergence for any mechanistic claim?question0.730
  Identified gap: current work lacks a general method for harmful divergence classification
• The mechanistic functional analysis is all a myth anyway, since there is no stopping in the endless regression of reasons for why something works.claim0.726
  Declares that traditional functional reasoning is ultimately arbitrary and groundless.