{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/causal-validation","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/8b0661d7-f520-405b-8733-0c25fdfa7c56","json_url":"https://onlylabs.fyi/signals/8b0661d7-f520-405b-8733-0c25fdfa7c56/signal.json","generated_at":"2026-06-11T03:57:04.907974+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/8b0661d7-f520-405b-8733-0c25fdfa7c56","signal_json":"https://onlylabs.fyi/signals/8b0661d7-f520-405b-8733-0c25fdfa7c56/signal.json","source":"https://github.com/amazon-science/causal-validation","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/causal-validation (Python). 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A short example is given below ```python from causal_validation import Config, simulate from causal_validation.effects import StaticEffect from causal_validation.plotters import plot from causal_validation.transforms import Trend, Periodic from causal_validation.transforms.parameter import UnitVaryingParameter from scipy.stats import norm cfg = Config( n_control_units=10, n_pre_intervention_timepoints=60, n_post_intervention_timepoints=30, ) Simulate the base observation base_data = simulate(cfg) Apply a linear trend with unit-varying intercept intercept = UnitVaryingParameter(sampling_dist =..."},"evidence_pages":[{"url":"https://github.com/amazon-science/causal-validation","final_url":"https://github.com/amazon-science/causal-validation","title":"amazon-science/causal-validation repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:57:04.907974+00:00","bytes":19068,"raw_path":"a80d07a660845fd6adac5d73750068e1621a6c9f312ccb7bbd0209198cc17585.json","content_hash":"5ac531fa1bea4deaffd39f67feb6b827770294dda6b3d7f325e4f9d4ed18681f","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/causal-validation Description: Validate your causal models! 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