{"id":"W4244446421","doi":"10.1002/9781118445112.stat04410","title":"Censored Distributions","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","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); Random variable; Statistics; Mathematics; Range (aeronautics); Econometrics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037939,0.0009210892,0.001424839,0.0003068056,0.0001613196,0.0001107593,0.0007480641,0.0006761419,0.01498769],"category_scores_gemma":[0.005538799,0.0008105577,0.0001133983,0.0003402285,0.000514499,0.0000307302,0.0002280551,0.00104298,0.0007295339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430154,"about_ca_system_score_gemma":0.0002863853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002768995,"about_ca_topic_score_gemma":0.0007649288,"domain_scores_codex":[0.9956706,0.0004339401,0.001094149,0.0009927374,0.0008433728,0.0009652193],"domain_scores_gemma":[0.9945312,0.002361427,0.0008817127,0.001335873,0.000376388,0.0005133613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001087511,0.0002041166,0.0000132133,0.0002589653,0.0000735825,0.00002065492,0.00001205424,1.697288e-7,0.000008762169,0.4893804,0.493727,0.01629014],"study_design_scores_gemma":[0.000460371,0.0001857369,0.00008826615,0.0006972322,0.0002270272,0.000008361128,0.00002311971,0.0006365326,0.000006920143,0.448036,0.5488381,0.0007922714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000004727445,0.0002188018,0.7456211,0.00007529633,0.0004955152,0.0004692617,0.1418949,0.0004919223,0.1107285],"genre_scores_gemma":[0.00007156903,0.0009083059,0.7901257,0.0001175168,0.0005031837,0.00005804037,0.008889103,0.000696556,0.19863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1330058,"threshold_uncertainty_score":0.9994345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09073011861284626,"score_gpt":0.394614636162104,"score_spread":0.3038845175492578,"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."}}