{"id":"W4416084768","doi":"10.1158/1078-0432.ccr-25-1946","title":"Machine Learning–Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2− Early Breast Cancer Using Real-World and NATALEE Data","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"Astellas Pharma; Astex Pharmaceuticals; Seagen; Invitae; Gilead Sciences; BeiGene; Daiichi Sankyo Europe; Sanofi; Veracyte; Novartis Institutes for BioMedical Research; Amgen; Pfizer; Novartis Pharmaceuticals Corporation; AstraZeneca; Eli Lilly and Company","keywords":"Breast cancer; Cancer; MEDLINE; Risk assessment; Patient data","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":[0.002674759,0.0002386507,0.0007584562,0.0003699127,0.0001713693,0.00003155093,0.0002230049,0.0001364396,0.00007791091],"category_scores_gemma":[0.0006071862,0.0001818642,0.00006529099,0.0009950801,0.0009697455,0.0001805988,0.0002956298,0.001119497,7.460969e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006862406,"about_ca_system_score_gemma":0.000803576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04636216,"about_ca_topic_score_gemma":0.009421702,"domain_scores_codex":[0.9964767,0.0009569068,0.000688013,0.0009073028,0.0005065502,0.0004645236],"domain_scores_gemma":[0.9967759,0.001844845,0.0001887299,0.0007326109,0.0002398752,0.0002180935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005523681,0.0001808811,0.7397805,0.0002716561,0.0001248473,0.00001668666,0.00007938586,0.00007804998,0.0003067697,0.00001350321,0.00002112539,0.253603],"study_design_scores_gemma":[0.007928707,0.001260934,0.9626532,0.002047097,0.000194062,0.00000413701,0.00004638173,0.02218467,0.0004739485,0.0001571188,0.002915177,0.0001345857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835238,0.01208527,0.0001572882,0.0009980759,0.0002144051,0.001057305,0.001828387,0.00003779903,0.00009763706],"genre_scores_gemma":[0.9811617,0.01778493,0.0002425867,0.0000382615,0.0001843093,0.0001598294,0.00008162204,0.00003220541,0.0003146288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2534684,"threshold_uncertainty_score":0.9599882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1877959057952461,"score_gpt":0.5374822287604847,"score_spread":0.3496863229652386,"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."}}