{"id":"W2025635898","doi":"10.1002/cjs.5540330308","title":"A copula-graphic estimator for the conditional survival function under dependent censoring","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Copula (linguistics); Estimator; Statistics; Humanities; Econometrics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005859361,0.0006414342,0.0009190781,0.002877967,0.0004742445,0.00142803,0.00155783,0.001822337,0.002912408],"category_scores_gemma":[0.03804127,0.0004928546,0.00121171,0.00237941,0.001183269,0.001606951,0.001365021,0.002203749,0.001154721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014317,"about_ca_system_score_gemma":0.001621635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020273,"about_ca_topic_score_gemma":0.003376199,"domain_scores_codex":[0.997927,0.00123625,0.00005298974,0.000296966,0.0003767739,0.0001101509],"domain_scores_gemma":[0.9925331,0.004623866,0.0006464626,0.001048458,0.000964506,0.0001835678],"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":[0.00008571683,0.0001190051,0.01634909,0.000368288,0.0004198601,0.0003360642,0.0003824104,0.1021819,0.003442804,0.5952883,0.01893101,0.2620955],"study_design_scores_gemma":[0.00008317991,0.0001571027,0.01906063,0.0002453031,0.0001830148,0.00104573,0.0001458254,0.6006466,0.002260852,0.3556241,0.02036486,0.000182768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00388339,0.0003115191,0.9936327,0.0001996026,0.00004871012,0.0000515593,0.0001334912,0.0002015199,0.001537449],"genre_scores_gemma":[0.3206252,0.001286473,0.6704828,0.0007511772,0.0002419499,0.0003246997,0.001459875,0.0002521435,0.004575671],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005859361,"threshold_uncertainty_score":0.03098762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811143756602844,"score_gpt":0.292893316084848,"score_spread":0.2547818785188196,"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."}}