{"id":"W4366198729","doi":"10.1002/bimj.202100368","title":"Mean residual life cure models for right‐censored data with and without length‐biased sampling","year":2023,"lang":"en","type":"article","venue":"Biometrical Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Covariate; Statistics; Residual; Mathematics; Consistency (knowledge bases); Estimating equations; Logistic regression; Asymptotic distribution; Econometrics; Estimator; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001604707,0.0001910681,0.0004223567,0.0006995645,0.0002827256,0.000219891,0.0004209328,0.0001155743,0.00007029466],"category_scores_gemma":[0.008553101,0.0001238496,0.00004174291,0.001625572,0.0001155412,0.0002012932,0.0001762006,0.0003276584,0.000007232541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002926491,"about_ca_system_score_gemma":0.000117003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005569292,"about_ca_topic_score_gemma":0.000002314619,"domain_scores_codex":[0.9980232,0.0001394617,0.0004740822,0.0003713777,0.0005468269,0.0004451241],"domain_scores_gemma":[0.9948866,0.003821803,0.000199203,0.0003957163,0.0002339006,0.0004627388],"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":[0.002972581,0.0009261713,0.004969921,0.000910257,0.001387072,0.0001839156,0.001596486,0.0001465865,0.001793331,0.6098196,0.1398307,0.2354634],"study_design_scores_gemma":[0.004402272,0.001271138,0.003111968,0.0002956857,0.0003971704,0.0002595482,0.0005625431,0.2150951,0.0002117399,0.7665964,0.007059707,0.0007367051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03509227,0.0002188199,0.9628359,0.0006770237,0.0001421586,0.0002559253,0.0005325847,0.00009215175,0.0001531359],"genre_scores_gemma":[0.09935952,0.0001548546,0.8997801,0.0001038786,0.0004292049,0.000008157152,0.00003475861,0.00004243423,0.0000871076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2347267,"threshold_uncertainty_score":0.9997983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4104347876488983,"score_gpt":0.4554356958125825,"score_spread":0.04500090816368413,"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."}}