{"id":"W4385580287","doi":"10.28924/2291-8639-21-2023-80","title":"A Class of Tests for Testing Better Failure Rate at Specific Age Distribution With Randomly Right Censored Data","year":2023,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Statistics; Estimator; Censoring (clinical trials); Normality test; Test statistic; Asymptotic distribution; Normality; Sample size determination; Statistic; Kaplan–Meier estimator; Statistical hypothesis testing; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01919269,0.002085156,0.002369171,0.00687065,0.0007544438,0.001792524,0.003659551,0.002356599,0.003082048],"category_scores_gemma":[0.09867602,0.0003862158,0.00253474,0.004169157,0.002287542,0.003536387,0.001537991,0.002457475,0.001003096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008088193,"about_ca_system_score_gemma":0.001718839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008163693,"about_ca_topic_score_gemma":0.0003948716,"domain_scores_codex":[0.9827062,0.007670896,0.001326137,0.003362044,0.004261987,0.000672791],"domain_scores_gemma":[0.8677155,0.1059753,0.01314223,0.007146218,0.004885412,0.001135271],"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":[0.002978086,0.0009690626,0.2136783,0.0025514,0.003088184,0.001307196,0.0006921656,0.09450421,0.02027883,0.09674099,0.007364556,0.555847],"study_design_scores_gemma":[0.000642292,0.006166329,0.1350681,0.0007794282,0.0009469702,0.004725923,0.0009146073,0.6717257,0.02578681,0.1378417,0.01487044,0.0005317521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09883384,0.002300946,0.8905534,0.0002981653,0.000173717,0.0006147396,0.002219449,0.001832203,0.003173516],"genre_scores_gemma":[0.7818183,0.001099633,0.2074685,0.0003709645,0.0004864221,0.00231466,0.0043606,0.0002985923,0.001782398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01919269,"threshold_uncertainty_score":0.1015018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07969915115756585,"score_gpt":0.3734543610484529,"score_spread":0.293755209890887,"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."}}