{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004759127,0.0002169743,0.0004162861,0.000174836,0.00009082097,0.00002780888,0.0006787199,0.0001810787,0.004148446],"category_scores_gemma":[0.007186453,0.0001750784,0.00007544149,0.0005620408,0.001152672,0.00004996386,0.0001405374,0.0002002271,0.00006565013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009108513,"about_ca_system_score_gemma":0.0007122476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003479322,"about_ca_topic_score_gemma":0.00003208691,"domain_scores_codex":[0.99821,0.00004256064,0.0003446691,0.000399243,0.0006235148,0.0003799831],"domain_scores_gemma":[0.9984472,0.0004663192,0.0003243071,0.0004899275,0.00009482323,0.0001773846],"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":[0.000004855014,0.00008507758,0.00001231386,0.0000600288,0.000009379096,0.000003255724,0.0001007647,1.332931e-7,0.0001132759,0.8906893,0.102065,0.006856582],"study_design_scores_gemma":[0.0003730125,0.0001099005,0.0003345119,0.0003336784,0.00007322865,0.000003130699,0.00002403673,0.000009154472,0.0003983221,0.5662631,0.4316756,0.0004023753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00005122725,0.000031501,0.09643184,0.00005265119,0.001218026,0.0002754384,0.0003777688,0.0001025143,0.901459],"genre_scores_gemma":[0.00184541,0.0002811584,0.8166562,0.0000199448,0.0009481828,0.00002475714,0.00001633919,0.00017562,0.1800324],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7214267,"threshold_uncertainty_score":0.9967619,"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."}}