{"id":"W2020776773","doi":"10.1111/j.0006-341x.2003.00127.x","title":"Issues of Cost and Efficiency in the Design of Reliability Studies","year":2003,"lang":"en","type":"article","venue":"Biometrics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intraclass correlation; Reliability (semiconductor); Variance (accounting); Statistics; Reliability engineering; Mathematics; Computer science; Psychometrics; Engineering; Economics; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002791976,0.00005736876,0.0002221723,0.0002472872,0.00001778093,0.000004979757,0.00009340186,0.00003260966,0.000007362041],"category_scores_gemma":[0.03845971,0.00003349723,0.00001527758,0.00205955,0.0002075404,0.00001518442,0.00001804433,0.00004456677,3.421193e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001096305,"about_ca_system_score_gemma":0.00001657971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009116605,"about_ca_topic_score_gemma":4.16858e-7,"domain_scores_codex":[0.9990047,0.0003524993,0.0002748012,0.00009604012,0.0001802437,0.00009168604],"domain_scores_gemma":[0.9908141,0.008784233,0.00009384692,0.0001736873,0.0001195017,0.00001461504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001472304,0.0005253553,0.0150456,0.000642858,0.00001670511,0.000002712,0.002305767,0.000001379006,0.0006251484,0.9505452,0.0004610665,0.02981347],"study_design_scores_gemma":[0.0002567085,0.0002945009,0.01271179,0.00005407904,0.00002914077,0.000002092089,0.001232196,0.0002045533,0.005016048,0.9798757,0.0002353852,0.00008780744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04685402,0.002036094,0.9502653,0.0000553475,0.00004993377,0.0003182302,0.0000125391,0.00000465916,0.0004038056],"genre_scores_gemma":[0.4138798,0.000298155,0.5857992,0.00000685107,0.000002525607,0.000005341414,6.16155e-8,0.000002316658,0.000005739972],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3670258,"threshold_uncertainty_score":0.9696397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2439836819691648,"score_gpt":0.4538264988293823,"score_spread":0.2098428168602176,"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."}}