{"id":"W4396598436","doi":"10.1158/1538-7445.sabcs23-po4-15-12","title":"Abstract PO4-15-12: Personalized circulating tumor DNA monitoring to predict response to neoadjuvant therapy in patients with early-stage breast cancer","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"inVentiv Health Clinical","funders":"","keywords":"Medicine; Breast cancer; Stage (stratigraphy); Oncology; Circulating tumor DNA; Neoadjuvant therapy; Internal medicine; Cancer; Biology","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":[0.0005752764,0.0002476467,0.0003479861,0.0003639266,0.0001382206,0.0005605184,0.0002028705,0.0003134126,0.001092342],"category_scores_gemma":[0.001330213,0.0001412557,0.0001340391,0.0003141009,0.0001626971,0.0002591503,0.0001746943,0.000308468,0.0003196982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003163597,"about_ca_system_score_gemma":0.0002727841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005558509,"about_ca_topic_score_gemma":0.0009336184,"domain_scores_codex":[0.9997298,0.00008981548,0.00002905752,0.00007858725,0.00004784429,0.00002486299],"domain_scores_gemma":[0.9992564,0.0001971859,0.000305222,0.00004179,0.00009512772,0.000104261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001947213,0.0001225547,0.9545527,0.00005593807,0.00005324784,0.0001077646,0.0000440373,0.0004877061,0.01341323,0.00002944908,0.0005038125,0.02868241],"study_design_scores_gemma":[0.0001311294,0.002580044,0.9663082,0.00003545541,0.0001276936,0.001513497,0.0001278821,0.006057498,0.0204309,0.0001434656,0.002521276,0.00002297491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962215,0.001262686,0.000912889,0.0001511206,0.00002274198,0.00002733314,0.0006100693,0.00004517493,0.0007464851],"genre_scores_gemma":[0.9974273,0.0001884635,0.001408134,0.00006783438,0.00002040829,0.00002392761,0.0004825853,0.00000357468,0.0003777391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001092342,"threshold_uncertainty_score":0.003654242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076198135472939,"score_gpt":0.3497216214138965,"score_spread":0.3189596400591671,"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."}}