{"id":"W4390235729","doi":"10.1093/bfgp/elad054","title":"Genomics in Clinical trials for Breast Cancer","year":2023,"lang":"en","type":"review","venue":"Briefings in Functional Genomics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Breast cancer; Genomics; Precision medicine; Clinical trial; Cancer; Personalized medicine; Targeted therapy; Bioinformatics; Oncology; Biology; Medicine; Computational biology; Internal medicine; Genetics; Genome; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003830847,0.0005142192,0.002152082,0.0002719005,0.00006742794,0.0000729326,0.0003957022,0.0009813925,0.00003362901],"category_scores_gemma":[0.001658872,0.0005338824,0.001157242,0.0002762613,0.0001005843,0.000003911828,0.0003032586,0.000457913,0.00003493161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290168,"about_ca_system_score_gemma":0.002729433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002832603,"about_ca_topic_score_gemma":0.001103452,"domain_scores_codex":[0.9954191,0.000266241,0.002586371,0.001060517,0.0001378281,0.0005298727],"domain_scores_gemma":[0.9971564,0.001207074,0.0008981276,0.000476462,0.000122498,0.0001394107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004232141,0.0001653121,0.0001693731,0.002666969,0.0004671269,0.000009897247,0.0000135544,0.001097271,0.0000497394,0.0005270955,0.03036336,0.9640471],"study_design_scores_gemma":[0.001243159,0.00007048855,0.0004662838,0.0009447013,0.0002880662,0.00003528786,0.000008797142,0.00006399665,0.000004199582,0.0003524359,0.9959594,0.0005631564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004692725,0.9891254,0.0004772205,0.0002363387,0.002493365,0.001881755,0.005232091,0.00001696484,0.00006755009],"genre_scores_gemma":[0.000009848231,0.9914225,0.0004300722,0.0008464252,0.003819948,0.0009801883,0.001697602,0.0001959129,0.0005974523],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9655961,"threshold_uncertainty_score":0.9997113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2332881134977786,"score_gpt":0.4381891697817716,"score_spread":0.204901056283993,"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."}}