{"id":"W4210609568","doi":"10.1002/9780470012505.tac017","title":"Censored Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Censoring (clinical trials); Statistics; Random variable; Mathematics; Econometrics; Range (aeronautics); 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":[0.007037816,0.001510472,0.001791863,0.004455186,0.00119692,0.004470296,0.003605798,0.004197509,0.02005079],"category_scores_gemma":[0.03784484,0.000711002,0.001231872,0.005875983,0.006691149,0.006549998,0.003138387,0.006025563,0.005601847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856331,"about_ca_system_score_gemma":0.001353307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293014,"about_ca_topic_score_gemma":0.0008928155,"domain_scores_codex":[0.9911006,0.003809057,0.0004754012,0.001515711,0.00260315,0.0004960188],"domain_scores_gemma":[0.9717965,0.01486111,0.003023743,0.007137223,0.002480084,0.0007013963],"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":[0.00004100454,0.00003164617,0.001226987,0.0003012757,0.00006350927,0.0004511957,0.0002164518,0.007915454,0.0002755433,0.9496241,0.01011416,0.02973852],"study_design_scores_gemma":[0.00002401641,0.00002574408,0.0005889848,0.0002716332,0.00002652104,0.0006902175,0.00007474823,0.01558436,0.0003170914,0.9464061,0.0359592,0.00003142443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008083753,0.01403006,0.9196944,0.004364157,0.0012025,0.0001669205,0.002765706,0.0008416264,0.04885095],"genre_scores_gemma":[0.664735,0.03261559,0.2131497,0.005297738,0.006905448,0.001329515,0.005533934,0.0005869446,0.06984618],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02005079,"threshold_uncertainty_score":0.06707656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116735537756801,"score_gpt":0.3500432339888611,"score_spread":0.3188758786112931,"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."}}