MRI-002 Historical Holdout Summary Status: frozen holdout validation; no method tuning was performed. Inputs remained local/offline. Existing historical master and calibration files were not modified. Eligibility - Source eligible high-engagement population: historical/mri_high_engagement_discussions.csv - Calibration exclusions: historical/mri_predictive_120_discussions.csv - Calibration articleIDs in holdout: 0 - Holdout discussions: 813 Matching Validation - Future winners: 8130 - Target matched controls: 24390 - Actual matched controls: 24390 - Median absolute order-percentile difference: 0.001757 - 90th percentile order-percentile difference: 0.004175 - Controls within +/-0.01: 97.79% - Controls within +/-0.025: 99.70% - Controls within +/-0.05: 100.00% - Duplicate/reused controls within article: 0 - Controls with comment_order <= 25: 0 - Controls that are FUTURE_TOP_10 winners: 0 Missing Data - Candidate rows missing text: 0 - Candidate rows missing timestamps: 0 - Candidate rows missing recommendation counts: 0 - Candidate rows missing early-alignment similarity: 0 Frozen Text Alignment Method - Text sources used for representation: EARLY_25 text and blinded matched candidate text only. - Cleaning: HTML tags and URLs removed; text lowercased. - TF-IDF: English stop words, word unigrams+bigrams, min_df=2, sublinear_tf=True, max_features=50000. - TruncatedSVD: n_components=100, random_state=42. - Vectors normalized before cosine similarity. - Semantic representation was created before candidate roles were revealed for metric calculation. - Control selection used comment_order_pct distance, createDate, and commentID only; it did not use recommendations or text. Holdout Early-Alignment Metrics - Pairwise early-alignment win rate: 0.613571 - Winner > mean-control rate: 0.651415 - Top-of-four accuracy: 0.362485 - Chance baseline for top-of-four accuracy: 0.250000 - Fraction of holdout discussions with mean winner-minus-control similarity > 0: 0.859779 Length Robustness - Conditional logistic regression groups: matched pair_id sets. - Model: winner_status ~ standardized_early_alignment_similarity + standardized_log1p_word_count. - Fitting method: statsmodels ConditionalLogit - standardized_early_alignment_similarity: coefficient=0.135104; odds_ratio=1.144656; 95% CI [1.103629, 1.187208]; p=4.0253e-13 - standardized_log1p_word_count: coefficient=0.607256; odds_ratio=1.835388; 95% CI [1.767831, 1.905526]; p=4.84793e-221 Compact Outputs - historical/mri_holdout_summary.txt - historical/mri_holdout_discussion_results.csv