{"id":"W2048699385","doi":"10.1037/1082-989x.5.3.370","title":"How important is transient error in estimating reliability? Going beyond simulation studies.","year":2000,"lang":"en","type":"article","venue":"Psychological Methods","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Reliability (semiconductor); Transient (computer programming); Observational error; Statistics; Standard error; Range (aeronautics); Error analysis; Reliability engineering; Mathematics; Computer science; Algorithm; Applied mathematics; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07941175,0.0008020794,0.001161799,0.0008899845,0.0005814828,0.002696261,0.00144698,0.001967724,0.00185556],"category_scores_gemma":[0.51974,0.0004913379,0.001211138,0.001398986,0.003342117,0.007668643,0.001976127,0.003057824,0.0003884001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330526,"about_ca_system_score_gemma":0.002098458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310223,"about_ca_topic_score_gemma":0.002254503,"domain_scores_codex":[0.9067518,0.08201126,0.001941204,0.003188802,0.00547489,0.0006320479],"domain_scores_gemma":[0.4223566,0.5238027,0.01696088,0.02560994,0.01041279,0.0008571279],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009537895,0.000402214,0.0992327,0.001948549,0.002853945,0.0005229456,0.004543021,0.2175223,0.001781677,0.4191962,0.008294142,0.2427485],"study_design_scores_gemma":[0.0001619987,0.0009097041,0.01849815,0.001061347,0.0005019572,0.0005086639,0.001526937,0.3908512,0.003900064,0.5695575,0.01233274,0.0001898291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06582218,0.003388987,0.9178565,0.004499236,0.0005205121,0.0002550202,0.0001410866,0.0003823203,0.007134226],"genre_scores_gemma":[0.8777862,0.001172985,0.1184563,0.0009140138,0.0002081915,0.0003782096,0.0001386861,0.00012557,0.000819833],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9205883,"threshold_uncertainty_score":0.4199745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3949998641647077,"score_gpt":0.6121051813343663,"score_spread":0.2171053171696586,"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."}}