{"id":"W4414649545","doi":"10.1016/j.ygyno.2025.04.052","title":"Post hoc tipping point and multiple imputation analyses to determine the impact of early censored patients in the ENGOT-EN6-NSGO/GOG-3031/RUBY trial","year":2025,"lang":"en","type":"article","venue":"Gynecologic Oncology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"GlaxoSmithKline","keywords":"Post-hoc analysis; Food and drug administration; Clinical endpoint; Clinical trial; Imputation (statistics); Endometrial cancer; Disease; Tipping point (physics)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004609563,0.0002317777,0.0009629031,0.0002039108,0.0001221664,0.00003688218,0.0004505416,0.0003196366,0.00008918133],"category_scores_gemma":[0.2139374,0.0001221767,0.000215797,0.000500783,0.0002524871,0.00005339208,0.0002334442,0.0003823751,0.000007046966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479763,"about_ca_system_score_gemma":0.0001835602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003150245,"about_ca_topic_score_gemma":0.0003372332,"domain_scores_codex":[0.9941176,0.0035658,0.001306516,0.0003939492,0.0002191797,0.0003970096],"domain_scores_gemma":[0.857945,0.1408671,0.0005009039,0.0003996164,0.0002204316,0.00006693781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.07641981,0.009039699,0.134651,0.0003474023,0.001451272,0.0001346029,0.01461103,0.0006113168,0.00592503,0.01764855,0.00603897,0.7331213],"study_design_scores_gemma":[0.03241388,0.01713375,0.596611,0.00005233354,0.0003154291,0.00000352031,0.00092973,0.001436149,0.00020033,0.3505375,0.0001035135,0.0002628518],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921336,0.00001998119,0.003169557,0.001030002,0.0005078564,0.002411299,0.00009258543,0.00002729905,0.0006077863],"genre_scores_gemma":[0.9229116,0.00001723446,0.07615551,0.0006561102,0.00009151477,0.0001303205,0.000004985321,0.00001165794,0.00002105972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7328585,"threshold_uncertainty_score":0.792684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3957069601206963,"score_gpt":0.5835680224617531,"score_spread":0.1878610623410568,"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."}}