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WSI processing for digital pathology. Tissue detection, tile extraction (random, grid, score-based), filter pipelines for H&E/IHC. For dataset prep, tile-based DL, slide QC. Use pathml for multiplexed…
Generate exactly one child hypothesis that improves logical coherence, causal consistency, and assumption hygiene.
Generate exactly one grounded child hypothesis by strengthening evidence, specificity, and literature support.
Generate exactly one child hypothesis that preserves the core idea while reducing unnecessary complexity.
Generate exactly one hypothesis candidate through a structured scientific debate.
Run the initial review gate for a hypothesis.
Update hypothesis proximity state by invoking the canonical embedding bridge for one hypothesis.
Run the decomposed review pipeline for a single hypothesis and persist each review stage as a structured artifact.
Run the assumption decomposition and deep verification review for a hypothesis.
Generate exactly one child hypothesis by combining complementary strengths from multiple parent hypotheses.
Generate exactly one cross-parent child hypothesis by transferring a useful principle from one parent context into another.
Run the full literature-grounded review for a hypothesis.
Generate exactly one literature-grounded hypothesis candidate for the active round.
Evaluate a hypothesis against prior observations.
Judge one ranked-tournament matchup between two top frontier hypotheses.
Summarize the completed reviews for a hypothesis.
Run the iterative evolution loop from the current persisted run state until convergence.
Generate exactly one child hypothesis that is more experimentally and operationally feasible than its parent.
Generate exactly one divergent but still testable child hypothesis that challenges the shared assumptions of the parent set.
Generate exactly one hypothesis candidate by enumerating and combining testable assumptions.
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design expe…
Judge one placement-tournament matchup between a candidate hypothesis and one opponent.
Update ranking artifacts for one reviewed hypothesis using canonical placement-opponent selection, ranked-frontier selection, tournament judgments, and Elo updates.
Simulate the hypothesis mechanism and identify failure scenarios.