{"id":"W2024442437","doi":"10.1198/tech.2010.09037","title":"Leveraged Gauge R&amp;R Studies","year":2010,"lang":"en","type":"article","venue":"Technometrics","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Repeatability; Estimator; Operator (biology); Mathematics; Standard deviation; Statistics; Gauge (firearms); Baseline (sea); Set (abstract data type); Sample size determination; Sample (material); Multiple; Integer (computer science); Computer science; Arithmetic; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.1052504,0.001709044,0.002361874,0.003092322,0.001231774,0.00338927,0.004984001,0.002405591,0.003892888],"category_scores_gemma":[0.2386038,0.0009474407,0.002706555,0.004638098,0.002469744,0.004657337,0.005952314,0.002622372,0.0008837336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377405,"about_ca_system_score_gemma":0.003990578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618909,"about_ca_topic_score_gemma":0.001757676,"domain_scores_codex":[0.8629534,0.09370483,0.005417597,0.01358205,0.0227785,0.001563674],"domain_scores_gemma":[0.6606769,0.160199,0.03076762,0.1202398,0.02632579,0.001790942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002733487,0.001412403,0.1220365,0.002373704,0.006419602,0.001127697,0.001295566,0.07439252,0.02033915,0.1774242,0.01357095,0.5768743],"study_design_scores_gemma":[0.001570942,0.01032849,0.1095634,0.0008874057,0.003167374,0.00246878,0.0007151629,0.4539556,0.05034124,0.2836585,0.08277202,0.0005710592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05521138,0.001542163,0.930387,0.0008814486,0.0002383701,0.0007775567,0.0007994117,0.0009235239,0.009239198],"genre_scores_gemma":[0.5480581,0.0005392306,0.4462281,0.0007325934,0.0004196842,0.001550668,0.000847567,0.0003009812,0.001323007],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1052504,"threshold_uncertainty_score":0.5566238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7407194595640327,"score_gpt":0.554925390716464,"score_spread":0.1857940688475688,"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."}}