{"id":"W4398134385","doi":"10.3390/math12101599","title":"New and Efficient Estimators of Reliability Characteristics for a Family of Lifetime Distributions under Progressive Censoring","year":2024,"lang":"en","type":"article","venue":"Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Brock University","funders":"","keywords":"Estimator; Censoring (clinical trials); Reliability (semiconductor); Statistics; Maximum likelihood; Mathematics; Computer science; Econometrics","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":[0.00027494,0.000144746,0.0003431576,0.00005667328,0.00006743295,0.0000342964,0.00009835713,0.00007273602,0.00005078832],"category_scores_gemma":[0.001680057,0.0001252445,0.0000900856,0.000243178,0.0001593631,0.00003190018,0.00004701421,0.00008152557,0.000006389863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004577014,"about_ca_system_score_gemma":0.000108299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002503276,"about_ca_topic_score_gemma":1.432893e-7,"domain_scores_codex":[0.9987295,0.00001651243,0.0006840565,0.0001975413,0.0002093172,0.0001630785],"domain_scores_gemma":[0.9975047,0.00166461,0.000217084,0.000273257,0.0002309086,0.0001095143],"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":[0.000005810775,0.0002233263,0.00001967428,0.001947424,0.00003440604,4.301857e-7,0.0003250397,0.00002978681,0.000655736,0.9942797,0.001044195,0.001434484],"study_design_scores_gemma":[0.0003860845,0.00008519648,0.002780634,0.0008488523,0.0003424063,0.00001190087,0.0003229331,0.2726133,0.003298027,0.7186416,0.0004257522,0.0002433254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09209926,0.00008331425,0.9050058,0.0002552634,0.00005835543,0.0006275077,0.001623025,0.00009058604,0.0001568873],"genre_scores_gemma":[0.6509646,0.000004435839,0.3487596,0.000005322776,0.00002272396,0.00007321779,0.00007197443,0.00001916162,0.00007896851],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5588653,"threshold_uncertainty_score":0.5107323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501136003918803,"score_gpt":0.3637629365628082,"score_spread":0.3187515765236201,"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."}}