{"id":"W4281718428","doi":"10.1200/jco.22.01026","title":"Can a Late Interception by Circulating Tumor DNA Deliver a Win in Estrogen Receptor–Positive Early Breast Cancer?","year":2022,"lang":"en","type":"letter","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute","keywords":"Medicine; Estrogen receptor; Breast cancer; Estrogen; Cancer; Cancer research; Oncology; Circulating tumor DNA; Internal medicine; Interception; 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":[0.00279176,0.0004724086,0.0009348512,0.0003519405,0.001261828,0.00179218,0.0009215319,0.02571683,0.003660323],"category_scores_gemma":[0.01361392,0.0003280944,0.0007890821,0.0002096967,0.001898917,0.002351781,0.0009024897,0.01951943,0.002492782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002748506,"about_ca_system_score_gemma":0.001847014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714875,"about_ca_topic_score_gemma":0.002091519,"domain_scores_codex":[0.9987356,0.0004393644,0.0001206397,0.0001230026,0.0003241141,0.0002574052],"domain_scores_gemma":[0.9959436,0.002702193,0.0002123913,0.0001413561,0.0003861701,0.0006142114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008876911,0.000166362,0.002801127,0.0001712853,0.00005247379,0.01131555,0.0001646815,0.0002245443,0.002137928,0.01240814,0.9148478,0.05482239],"study_design_scores_gemma":[0.0009175547,0.0009113046,0.002442369,0.0002753239,0.0001073436,0.01104634,0.0004527601,0.001100701,0.002775268,0.03487371,0.945021,0.0000762951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001489403,0.003125835,0.0002694441,0.9769666,0.01569511,0.00001192039,0.00002720218,0.00002477693,0.002389711],"genre_scores_gemma":[0.02867097,0.004952932,0.0006278762,0.8659398,0.08889158,0.00006483287,0.00004113631,0.00003013709,0.01078073],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02571683,"threshold_uncertainty_score":0.01994187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075921465601361,"score_gpt":0.3569652693478024,"score_spread":0.3262060546917888,"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."}}