{"id":"W1544733715","doi":"10.1002/0470037849.app1","title":"Appendix: Computational Formulas for the Moments of Test Statistics W <sub>min,r,</sub> W <sub>max,r,</sub> and W <sub>E,r</sub>","year":2006,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Library science; Citation; Statistics; Series (stratigraphy); Combinatorics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002232236,0.001679709,0.001209748,0.002766899,0.0005449981,0.001713118,0.002994416,0.00183479,0.4558334],"category_scores_gemma":[0.05018453,0.001291005,0.000749349,0.002959992,0.0004757575,0.002798802,0.00124529,0.001957991,0.2187507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841869,"about_ca_system_score_gemma":0.001985848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004395912,"about_ca_topic_score_gemma":0.007518227,"domain_scores_codex":[0.9985287,0.0003984513,0.0001832341,0.0001968438,0.0006028072,0.00008995181],"domain_scores_gemma":[0.9720071,0.01892203,0.0007003631,0.001832689,0.006295681,0.0002420979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009147509,0.0001178303,0.0005397162,0.0006729926,0.00003443046,0.0001882644,0.0000627789,0.01016312,0.001232726,0.06987762,0.688452,0.2285671],"study_design_scores_gemma":[0.0003736319,0.00009440644,0.001855376,0.0005977899,0.00006616439,0.001699836,0.0001098451,0.1185346,0.00650926,0.2197809,0.6502206,0.0001574982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001147742,0.0008676553,0.8784115,0.001564892,0.00145782,0.0007678365,0.04239206,0.01371334,0.05967716],"genre_scores_gemma":[0.0310384,0.001211159,0.7980024,0.001815678,0.001100127,0.002351133,0.04030568,0.01055493,0.1136204],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4558334,"threshold_uncertainty_score":0.7761875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727293882970021,"score_gpt":0.291258923934216,"score_spread":0.2639859851045158,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}