{"id":"W1914109520","doi":"10.1007/978-3-642-57590-7_17","title":"Detecting Changes in the Mean from Censored Lifetime Data","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; University of Waterloo","funders":"","keywords":"Censoring (clinical trials); Control chart; Reliability engineering; Statistics; Computer science; Process (computing); 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":[],"consensus_categories":[],"category_scores_codex":[0.00607647,0.0007357853,0.001110602,0.002254991,0.0002995538,0.001239214,0.001405145,0.001367719,0.001231418],"category_scores_gemma":[0.03989446,0.0003291213,0.0005178825,0.002169632,0.0007710772,0.001907472,0.0009423709,0.001531373,0.0004509911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336778,"about_ca_system_score_gemma":0.000417534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154646,"about_ca_topic_score_gemma":0.001074987,"domain_scores_codex":[0.9977946,0.0007641937,0.0001048946,0.0004511091,0.000800807,0.00008426207],"domain_scores_gemma":[0.9774515,0.01864137,0.001551108,0.001364202,0.0008815989,0.0001102245],"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":[0.0005034168,0.0002222087,0.03146221,0.0006636416,0.0002452749,0.0004168575,0.0009393697,0.1170637,0.01499593,0.05810703,0.005065829,0.7703145],"study_design_scores_gemma":[0.00004843867,0.0004471199,0.03329175,0.0001926354,0.0001194155,0.0007265436,0.0002139714,0.7830884,0.02176629,0.1460784,0.01377182,0.0002552294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03395272,0.0009469389,0.9622291,0.0001099014,0.00005674688,0.0000439722,0.0005515081,0.0007200383,0.0013891],"genre_scores_gemma":[0.4608737,0.002021078,0.5302253,0.0002420585,0.0001352315,0.0003516059,0.002783781,0.0002403841,0.003126925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00607647,"threshold_uncertainty_score":0.03213584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2779142949213244,"score_gpt":0.4254626745535473,"score_spread":0.1475483796322229,"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."}}