{"id":"W4390607200","doi":"10.1038/s41523-023-00607-1","title":"Circulating tumour mutation detection in triple-negative breast cancer as an adjunct to tissue response assessment","year":2024,"lang":"en","type":"article","venue":"npj Breast Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Spinal Cord Injury BC","funders":"BC Cancer Foundation; Canadian Institutes of Health Research; Susan G. Komen; Government of Canada; Breast Cancer Research Foundation","keywords":"Medicine; Breast cancer; Triple-negative breast cancer; Liquid biopsy; Oncology; Biopsy; Internal medicine; Neoadjuvant therapy; Circulating tumor DNA; Minimal residual disease; Pathology; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003265816,0.0002186734,0.0001768145,0.000149579,0.0000846234,0.0001128917,0.0001225239,0.0001369093,0.0002195964],"category_scores_gemma":[0.00005868976,0.0002283926,0.00006038083,0.0003280257,0.00003182149,0.00002113219,0.0000662227,0.0001655274,0.0000173196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005803159,"about_ca_system_score_gemma":0.0007599364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007703719,"about_ca_topic_score_gemma":0.009325294,"domain_scores_codex":[0.9984894,0.0001278485,0.0002695413,0.0006041965,0.0001951963,0.0003137499],"domain_scores_gemma":[0.9993423,0.00004707817,0.00006601139,0.0002256849,0.0001554187,0.0001634782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001314536,0.00006162329,0.001536636,0.00004229572,0.00005723316,0.00007194654,0.0003834297,0.006368885,0.8093375,0.00003574407,0.0002692784,0.1805209],"study_design_scores_gemma":[0.001758412,0.000590459,0.7483287,0.000381467,0.00009321784,0.0006637697,0.0005392332,0.007663199,0.2332009,0.000296358,0.005677169,0.0008070298],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935836,0.0005830909,0.001977064,0.001534268,0.0009180881,0.0004610264,0.0007260395,0.00002828445,0.0001885466],"genre_scores_gemma":[0.997466,0.0001561662,0.0002122399,0.0005471022,0.0008657961,0.000424537,0.00005122202,0.00005417217,0.0002227971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7467921,"threshold_uncertainty_score":0.998904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008582745815151772,"score_gpt":0.3189100114348784,"score_spread":0.3103272656197266,"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."}}