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wassnameandClaudypoo
f5efbd24bd
read_api.read_items_sampled samples N chat completions at temperature and uses the empirical answer frequency as the per-item categorical p, emitting the same row shape the logprob reader does -- so E/profile/entropy flow through the identical per_item_categorical + reducers and a frontier model without logprobs drops onto the same map. pmass_allowed becomes the parse rate (sampling coherence gate); C/LO are omitted by design (log of a frequency has -inf zeros). This is the Economist's 'average of ten responses' method. UAT (docs/reviews/p3_api_sampling_uat.md): E_mc == E_logprob to <=0.01 (unbiased), llama-3.1-8b sampled E lands on the same [1,5] scale, parse-rate gate flags off-format draws. Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>