{"id":"W2059629136","doi":"10.1002/sim.3766","title":"Optimal two‐stage reliability studies","year":2009,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Intraclass correlation; Reliability (semiconductor); Measure (data warehouse); Stage (stratigraphy); Mathematics; Statistics; Limit (mathematics); Correlation; Correlation coefficient; Computer science; Reproducibility; Data mining; Power (physics); Physics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007746085,0.0001611118,0.0005130679,0.0001206575,0.00004508975,0.000003195583,0.00007384141,0.00004973984,0.0001243218],"category_scores_gemma":[0.001324898,0.0001192849,0.00002168793,0.0002075226,0.0002357475,0.00002406362,0.00001288887,0.0003326162,0.00001384623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689039,"about_ca_system_score_gemma":0.00006131073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007645858,"about_ca_topic_score_gemma":0.000009257105,"domain_scores_codex":[0.9986155,0.00005650677,0.0004136885,0.0002730377,0.0003609484,0.0002802926],"domain_scores_gemma":[0.9989824,0.0003081542,0.00006349652,0.0003605763,0.0001547507,0.0001306504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003416931,0.002466384,0.1493756,0.001763718,0.0006225661,0.006570085,0.02883421,0.003798154,0.01232924,0.176349,0.07149193,0.5429821],"study_design_scores_gemma":[0.05332971,0.01774031,0.6412748,0.005224326,0.0006967512,0.0003218993,0.01147534,0.05408286,0.002125323,0.1285098,0.08337644,0.001842405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322468,0.002537404,0.04360444,0.009385756,0.001459719,0.0006663613,0.00006226503,0.0001715743,0.009865685],"genre_scores_gemma":[0.9350582,0.0009066768,0.05977952,0.0008806647,0.0006020142,0.000008618289,0.00003723953,0.00001525283,0.002711808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5411397,"threshold_uncertainty_score":0.4864297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542734917062795,"score_gpt":0.4132929343133789,"score_spread":0.377865585142751,"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."}}