{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008547862,0.0004720049,0.0005095544,0.0008971641,0.0001770614,0.0006933946,0.0006595697,0.0005176628,0.0006584222],"category_scores_gemma":[0.01617144,0.0001725982,0.000784992,0.0005903317,0.0003461543,0.0004682071,0.0005731076,0.0008395327,0.0002508842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008680947,"about_ca_system_score_gemma":0.000622528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005615572,"about_ca_topic_score_gemma":0.00692278,"domain_scores_codex":[0.9979358,0.001347407,0.0001303612,0.000321296,0.0001845778,0.00008054353],"domain_scores_gemma":[0.9896982,0.007119037,0.001466374,0.0009507949,0.000555034,0.0002105418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003190494,0.0009576918,0.7603211,0.0002428507,0.001046656,0.0002202064,0.0001165067,0.1868462,0.0009130772,0.0005004641,0.003286677,0.04235801],"study_design_scores_gemma":[0.0004629528,0.001383386,0.2651297,0.00008474987,0.0003392883,0.0002812621,0.000105235,0.7272336,0.001652486,0.001026874,0.002247242,0.00005317348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936194,0.0005257112,0.002502811,0.0004074518,0.00001638208,0.00006874662,0.002173978,0.00005579485,0.0006296805],"genre_scores_gemma":[0.9937656,0.00009731437,0.002074105,0.00007658132,0.00001488166,0.00004770012,0.003723528,0.000005459588,0.0001947335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008547862,"threshold_uncertainty_score":0.04520595,"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."}}