{"id":"W2050525479","doi":"10.1198/tech.2009.07182","title":"Two-Stage Leveraged Measurement System Assessment","year":2009,"lang":"en","type":"article","venue":"Technometrics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Estimator; Standard deviation; Measure (data warehouse); Statistics; Stage (stratigraphy); Baseline (sea); Computer science; Intraclass correlation; Sample (material); Reliability engineering; Mathematics; Data mining; Engineering; Reproducibility","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0349991,0.001454825,0.002242531,0.003388427,0.001149082,0.003264354,0.004256284,0.001738381,0.003235717],"category_scores_gemma":[0.09933157,0.001202022,0.001569094,0.003015752,0.001779178,0.004930257,0.006467346,0.002154675,0.0007816964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802051,"about_ca_system_score_gemma":0.004221529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702128,"about_ca_topic_score_gemma":0.003484383,"domain_scores_codex":[0.9533384,0.02213553,0.002641555,0.006915803,0.01387706,0.001091586],"domain_scores_gemma":[0.9222842,0.03028274,0.008880536,0.02131634,0.01587351,0.001362543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001204854,0.001072152,0.07817701,0.0006644158,0.001138657,0.0002949393,0.001669701,0.07791622,0.01975911,0.05476297,0.00512936,0.7582106],"study_design_scores_gemma":[0.0003009353,0.003195291,0.05741134,0.0001198458,0.0003238182,0.0005276799,0.0003997111,0.8259583,0.02313569,0.07954776,0.008692356,0.0003872922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03369109,0.0001359372,0.9627956,0.0002334314,0.00004741855,0.0007875352,0.0002209029,0.0007909085,0.00129717],"genre_scores_gemma":[0.3550061,0.00006839469,0.6417298,0.000129818,0.00004981973,0.001359421,0.0004998256,0.00008925812,0.001067558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0349991,"threshold_uncertainty_score":0.1850951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2753652484085137,"score_gpt":0.4621060878968136,"score_spread":0.1867408394882999,"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."}}