{"id":"W2552371782","doi":"10.1002/cjs.11306","title":"Cure rate quantile regression accommodating both finite and infinite survival times","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile regression; Statistics; Covariate; Quantile; Mathematics; Outlier; Estimator; Proportional hazards model; Econometrics; Population; Asymptotic distribution; Regression analysis; Survival analysis; Regression; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009379862,0.0001596733,0.0003592906,0.0001571308,0.0001521253,0.00008315564,0.0001718822,0.00007710989,0.0006916258],"category_scores_gemma":[0.01078737,0.0001001926,0.00003271177,0.0001010648,0.0001850669,0.0001197201,0.00002305916,0.0002182787,0.000009626739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005113014,"about_ca_system_score_gemma":0.0005242847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002940226,"about_ca_topic_score_gemma":0.001726436,"domain_scores_codex":[0.9985948,0.0002459638,0.0005470705,0.0001231437,0.0001744262,0.0003146263],"domain_scores_gemma":[0.99226,0.006255433,0.0004283449,0.0001603172,0.0003050196,0.0005909121],"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":[0.0000371734,0.00001700633,0.01158149,0.0001133027,0.00006144546,0.0003542112,0.00050567,0.000002147664,0.0004109257,0.8233384,0.03086412,0.1327141],"study_design_scores_gemma":[0.0009995688,0.0003382837,0.01428006,0.001156119,0.0001024404,0.00009070418,0.0002772461,0.001064359,0.0002179261,0.96812,0.0129823,0.0003710313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.021826,0.0001729049,0.9735831,0.0007447829,0.0005798198,0.00009056806,0.001396867,0.000009486041,0.001596448],"genre_scores_gemma":[0.386846,0.0001519898,0.6121683,0.0001320279,0.0001830362,0.000001223416,0.000003455802,0.000035664,0.00047841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.36502,"threshold_uncertainty_score":0.9975452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09984161549464979,"score_gpt":0.3402740112163885,"score_spread":0.2404323957217387,"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."}}