{"id":"W2050509804","doi":"10.1006/jmva.2000.1959","title":"A Martingale Approach to the Copula-Graphic Estimator for the Survival Function under Dependent Censoring","year":2001,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mathematics; Copula (linguistics); Estimator; Censoring (clinical trials); Kaplan–Meier estimator; Statistics; Econometrics; Applied mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003277796,0.0001444786,0.0004315434,0.0002047421,0.0003136658,0.0001040994,0.000312663,0.00005454348,0.0000480785],"category_scores_gemma":[0.003126141,0.0000710016,0.0004179042,0.0008958767,0.00003019211,0.00006575923,0.00004638926,0.0002459996,0.000002914991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004615621,"about_ca_system_score_gemma":0.00003011704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008499463,"about_ca_topic_score_gemma":0.00003966517,"domain_scores_codex":[0.9981836,0.0002973641,0.0006478661,0.0001620357,0.0004656646,0.000243459],"domain_scores_gemma":[0.9951442,0.003541605,0.0004999129,0.0003035139,0.0004014322,0.0001093453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002561797,0.002010338,0.03008267,0.0001968347,0.02435322,0.00002661294,0.003117609,0.1994705,0.004486838,0.6485316,0.002501239,0.08266079],"study_design_scores_gemma":[0.002049485,0.0005078748,0.1196866,0.0000657812,0.01633329,0.00006051472,0.004477348,0.7250479,0.0002086568,0.1282307,0.002840663,0.0004911632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02115905,0.00005963724,0.9770545,0.000901532,0.0002454497,0.0002142263,0.000009213465,0.000009808981,0.000346547],"genre_scores_gemma":[0.7422439,0.00001702992,0.2571418,0.0001468834,0.000249212,0.00001935945,0.000001035619,0.00001544872,0.0001653008],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7210849,"threshold_uncertainty_score":0.3742509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1362396011753799,"score_gpt":0.3889001929710463,"score_spread":0.2526605917956664,"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."}}