{"id":"W4389858628","doi":"10.1093/ajcp/aqad167","title":"<i>HER2/ERBB2</i> copy number analysis by targeted next-generation sequencing in breast cancer","year":2023,"lang":"en","type":"article","venue":"American Journal of Clinical Pathology","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"National Cancer Institute; Gilead Sciences; Eisai; National Comprehensive Cancer Network; Daiichi Sankyo Europe; Sanofi; Pfizer; Genentech; Dana-Farber/Harvard Cancer Center; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Breast cancer; Fluorescence in situ hybridization; Oncology; Immunohistochemistry; Internal medicine; Medicine; Fish <Actinopterygii>; Clinical Oncology; Copy-number variation; Cancer; Pathology; Biology; Genetics; Gene; Genome","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":[0.001111063,0.0002600964,0.0002480628,0.0008236734,0.0001468634,0.0004265338,0.0002876568,0.000298992,0.0007645732],"category_scores_gemma":[0.001689592,0.00009744174,0.0001917949,0.0003718416,0.000203531,0.0001705537,0.0002534817,0.0001899276,0.0002090078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003712359,"about_ca_system_score_gemma":0.000351203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154283,"about_ca_topic_score_gemma":0.001703211,"domain_scores_codex":[0.9996038,0.0001116017,0.00003162821,0.00008519296,0.0001367852,0.00003100599],"domain_scores_gemma":[0.9996196,0.0001486406,0.0001007197,0.00003133681,0.00007610544,0.00002357288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001305961,0.000172161,0.5817246,0.0004465154,0.0002857948,0.001233813,0.0001892626,0.008386825,0.2714378,0.0005796371,0.002814147,0.1314234],"study_design_scores_gemma":[0.00009732145,0.0007241741,0.7906115,0.0001086986,0.0003194753,0.01023308,0.0001663955,0.03932054,0.150779,0.001315557,0.006279277,0.00004491247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795008,0.003196326,0.01338191,0.0002447646,0.00002001739,0.00008645398,0.0009842349,0.0001947154,0.002390912],"genre_scores_gemma":[0.9855268,0.0008300546,0.01202812,0.0001600976,0.00002598938,0.00007214917,0.0008641802,0.00001896118,0.0004737395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001154283,"threshold_uncertainty_score":0.005875945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.154492501558551,"score_gpt":0.4836317958463231,"score_spread":0.3291392942877721,"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."}}