{"id":"W4322760627","doi":"10.1158/1538-7445.sabcs22-p2-03-07","title":"Abstract P2-03-07: Multi-parametric algorithm integrating on-treatment Ki67 value and standard clinicopathological variables to predict risk of recurrences for women > 70 years old with early ER+HER2- tumours in POETIC trial","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Medicine; Breast cancer; Internal medicine; Exemestane; Overfitting; Estrogen receptor; Oncology; Gynecology; Cancer; Aromatase","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":[0.007950339,0.0007465712,0.001905215,0.0004426335,0.0002291588,0.0009501886,0.001182996,0.001056199,0.002446098],"category_scores_gemma":[0.009074659,0.0003041269,0.001466695,0.0003203297,0.0003531814,0.0005420372,0.0006690297,0.001341949,0.0003670704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004925393,"about_ca_system_score_gemma":0.0009066094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006618299,"about_ca_topic_score_gemma":0.0006217702,"domain_scores_codex":[0.9979661,0.001613831,0.00008172159,0.0001878929,0.00008551258,0.00006493838],"domain_scores_gemma":[0.9968805,0.002114557,0.0003561505,0.0002072832,0.0002006756,0.0002407722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3950332,0.005937125,0.1899299,0.00110202,0.007337407,0.0001895575,0.000183079,0.1410385,0.004712683,0.001122311,0.01150709,0.2419071],"study_design_scores_gemma":[0.06409855,0.03389286,0.0682367,0.0001071382,0.004509205,0.0003411716,0.0001114289,0.8172884,0.0033518,0.002681223,0.005237004,0.0001446171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665861,0.001755369,0.02271209,0.001317718,0.0001696115,0.002022945,0.002744548,0.0005055338,0.002186025],"genre_scores_gemma":[0.9794901,0.0002005123,0.01385111,0.0003398954,0.00008930961,0.002114553,0.0028579,0.00003679528,0.001019847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007950339,"threshold_uncertainty_score":0.04204589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07924917526543351,"score_gpt":0.4130780661355551,"score_spread":0.3338288908701216,"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."}}