{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00933381,0.001307596,0.002408976,0.002493839,0.0004412018,0.002446067,0.002088706,0.004916253,0.01277391],"category_scores_gemma":[0.01395469,0.0004981628,0.001433254,0.00224637,0.002056089,0.003519406,0.001877922,0.00753597,0.006525881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002620364,"about_ca_system_score_gemma":0.002907057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149281,"about_ca_topic_score_gemma":0.002286364,"domain_scores_codex":[0.9957674,0.002493674,0.0003730968,0.0003130326,0.0009081954,0.0001445934],"domain_scores_gemma":[0.9894633,0.008469399,0.0006372497,0.0002312343,0.0007856041,0.0004131265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000179979,0.00007019585,0.0001309038,0.01233961,0.0001896922,0.0001539944,0.00008509937,0.0002685426,0.0003594107,0.02214873,0.1621612,0.8019127],"study_design_scores_gemma":[0.0001526967,0.0001042493,0.0003381069,0.01057654,0.0000936511,0.000438044,0.00003324851,0.00007705909,0.00009531314,0.01060118,0.9774705,0.00001940963],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003312602,0.9917326,0.0003918181,0.003677047,0.001681922,0.0000373074,0.00003233713,0.0000195413,0.002394176],"genre_scores_gemma":[0.0008834227,0.9836195,0.001466666,0.008968781,0.002473513,0.0001596002,0.0001080301,0.0000160059,0.002304506],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01277391,"threshold_uncertainty_score":0.04936248,"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."}}