{"id":"W2742154546","doi":"10.1158/1538-7445.am2017-ct011","title":"Abstract CT011: Circulating tumor DNA (ctDNA) sequencing for <i>HER2</i> mutation (<i>HER2</i>mut) screening and response monitoring to neratinib in metastatic breast cancer (MBC)","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Neratinib; Concordance; Medicine; Circulating tumor DNA; Internal medicine; Oncology; Incidence (geometry); Population; Metastatic breast cancer; Cancer; Breast cancer; Trastuzumab","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":[0.0005385348,0.0004256561,0.00047519,0.0002816404,0.0002428642,0.0004085476,0.000389908,0.0003513292,0.009023775],"category_scores_gemma":[0.00111945,0.0001462783,0.0001743727,0.0002261908,0.0002732815,0.0001902605,0.0001968443,0.0005528211,0.0009752068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006062207,"about_ca_system_score_gemma":0.0006123491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613501,"about_ca_topic_score_gemma":0.0014424,"domain_scores_codex":[0.999658,0.00009639384,0.00003561114,0.00008786951,0.00008722131,0.00003490711],"domain_scores_gemma":[0.9993972,0.0001293942,0.00009269702,0.00004477835,0.0001197072,0.0002162085],"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":[0.1303002,0.003380811,0.1126773,0.0009452428,0.0002894451,0.001509991,0.0002323441,0.002710374,0.5492872,0.0004160476,0.02468921,0.1735618],"study_design_scores_gemma":[0.01798245,0.08399549,0.3296947,0.0001118641,0.0005635145,0.01155078,0.0001235917,0.006945597,0.5182389,0.0005050063,0.03020948,0.00007858796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815592,0.001318483,0.003751435,0.0003947387,0.0001255433,0.0006870208,0.003716433,0.0002892489,0.008157908],"genre_scores_gemma":[0.9769107,0.0003176709,0.004865192,0.0002950574,0.00009734806,0.0003762395,0.007529405,0.00005692956,0.009551477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009023775,"threshold_uncertainty_score":0.03018755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09485501271102145,"score_gpt":0.4129818172002849,"score_spread":0.3181268044892634,"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."}}