{"id":"W3008140434","doi":"10.1126/scitranslmed.aax2625","title":"BRCAness, SLFN11, and RB1 loss predict response to topoisomerase I inhibitors in triple-negative breast cancers","year":2020,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Cancer therapeutics and mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute; National Institutes of Health; Institut National Du Cancer; Direction Générale de l’offre de Soins; Institut National de la Santé et de la Recherche Médicale","keywords":"Triple-negative breast cancer; Topoisomerase; Breast cancer; Cancer research; Medicine; Triple negative; Topoisomerase inhibitor; Cancer; Oncology; Biology; Internal medicine; Genetics; DNA","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":[0.0002415451,0.0002024473,0.0002201993,0.0003994796,0.00007883946,0.0001919806,0.00007314267,0.0001903823,0.0009385612],"category_scores_gemma":[0.0004117972,0.0001154425,0.0001433056,0.0001688193,0.0001426633,0.0001223009,0.00009965854,0.0001528763,0.0001359229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677137,"about_ca_system_score_gemma":0.0000813924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006723563,"about_ca_topic_score_gemma":0.0010895,"domain_scores_codex":[0.999898,0.00002350112,0.00001334964,0.00002241096,0.0000241232,0.00001870024],"domain_scores_gemma":[0.9997985,0.00005683877,0.00006635259,0.00001089595,0.00001624823,0.00005121726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003010215,0.0001206033,0.8859084,0.0000383492,0.00006304716,0.0003546943,0.00005564025,0.0005033012,0.09866505,0.00002803625,0.0001316226,0.01112111],"study_design_scores_gemma":[0.00001658594,0.0004675043,0.9861963,0.000005143575,0.00003805183,0.001137008,0.00005902503,0.0008347303,0.01086924,0.00002056863,0.0003522504,0.000003485731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993693,0.0003523835,0.00006421216,0.000009787912,0.000001249718,0.000003681566,0.00003577675,0.00000297522,0.000160727],"genre_scores_gemma":[0.9995753,0.0001088199,0.00008467466,0.000007353327,0.000001735402,0.00000341274,0.00008580335,6.353195e-7,0.0001321565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009385612,"threshold_uncertainty_score":0.003139794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314497392111554,"score_gpt":0.2773179611807338,"score_spread":0.2641729872596182,"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."}}