{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009479456,0.001594618,0.002034317,0.004829758,0.001279406,0.00435967,0.004143605,0.004082711,0.01931075],"category_scores_gemma":[0.05185907,0.0008057526,0.001465451,0.006632756,0.007704625,0.007115497,0.003382745,0.00687076,0.005915596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984555,"about_ca_system_score_gemma":0.001537843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426486,"about_ca_topic_score_gemma":0.0009910582,"domain_scores_codex":[0.9887037,0.005230483,0.0006261511,0.002019737,0.002835597,0.0005843928],"domain_scores_gemma":[0.9571179,0.02390422,0.004543654,0.01041992,0.003151111,0.0008630995],"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":[0.00004150127,0.00003098009,0.001447983,0.0003703649,0.00007220198,0.0004012796,0.0002747485,0.007170754,0.0002482536,0.9486791,0.01162271,0.02964015],"study_design_scores_gemma":[0.00002322094,0.00002298392,0.0006152932,0.0003186952,0.00002616129,0.0005530298,0.00007225012,0.01398768,0.0002749983,0.9551955,0.02887576,0.00003437801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006678934,0.01020402,0.9436961,0.003746915,0.001097708,0.0001518154,0.003166294,0.0008755567,0.03038261],"genre_scores_gemma":[0.6156082,0.02924422,0.2764268,0.006579879,0.007268926,0.001571393,0.007697321,0.0008872347,0.05471613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01931075,"threshold_uncertainty_score":0.06460088,"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."}}