{"id":"W1995451366","doi":"10.1214/08-ejs340","title":"Multidimensional hazard estimation under generalized censoring","year":2009,"lang":"en","type":"article","venue":"Electronic Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Mathematics; Censoring (clinical trials); Estimator; Applied mathematics; Statistics; Central limit theorem; Mathematical optimization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01018487,0.0007113202,0.001580209,0.001146161,0.0003917283,0.00140626,0.002474868,0.001554033,0.001101202],"category_scores_gemma":[0.03348018,0.0004404288,0.001197848,0.001947285,0.00133538,0.001782422,0.00299902,0.001521242,0.000240042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700247,"about_ca_system_score_gemma":0.0006647434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126187,"about_ca_topic_score_gemma":0.0005282084,"domain_scores_codex":[0.9950646,0.003147233,0.00023464,0.0007044223,0.0006371707,0.0002120244],"domain_scores_gemma":[0.980872,0.01303234,0.002188538,0.002928891,0.0007190886,0.000259013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004728782,0.0001081303,0.01950706,0.0006114619,0.0005388288,0.001580207,0.000654489,0.5163245,0.003987229,0.2698916,0.00140463,0.1849191],"study_design_scores_gemma":[0.00004902551,0.0001022376,0.004000239,0.00004261738,0.00006094042,0.000403588,0.00007702005,0.8530989,0.001429582,0.1395195,0.00115337,0.00006295504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02373934,0.0004687389,0.9751372,0.0001840521,0.00002607404,0.00001653788,0.00006902489,0.00009828451,0.0002608119],"genre_scores_gemma":[0.7573414,0.001437782,0.2384872,0.000234327,0.000247553,0.0001694344,0.0004311167,0.00005595644,0.001595205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01018487,"threshold_uncertainty_score":0.05386341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05984994758419908,"score_gpt":0.4024888969287458,"score_spread":0.3426389493445467,"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."}}