{"id":"W4403284224","doi":"10.17615/hpyc-bg25","title":"Prognostic value of HER2DX in early-stage HER2-positive breast cancer: a comprehensive analysis of 757 patients in the Sweden Cancerome Analysis Network—Breast dataset (SCAN-B)","year":2024,"lang":"en","type":"article","venue":"UNC Libraries","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Aptitude Health; Oncolytics Biotech; Seagen; Puma Biotechnology; Daiichi-Sankyo; Genentech; Veracyte; Pfizer; Incyte; Queen Mary University of London; Clovis Oncology; Astellas Pharma; Eisai; Jazz Pharmaceuticals; Natera; Baxalta; Amgen; Ariad Pharmaceuticals; Servier; Gilead Sciences; Exelixis; Sanofi; GlaxoSmithKline; Celgene; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Les Laboratories Pierre Fabre","keywords":"Breast cancer; Stage (stratigraphy); Oncology; Internal medicine; Medicine; Gynecology; Cancer; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007034068,0.0006252406,0.001334625,0.001428552,0.0005847638,0.001135072,0.0008571853,0.0008421262,0.003289707],"category_scores_gemma":[0.003482325,0.0003313617,0.001132518,0.003452792,0.0002547151,0.0004343443,0.001412856,0.000572724,0.00130147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005775339,"about_ca_system_score_gemma":0.001119478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226293,"about_ca_topic_score_gemma":0.03670669,"domain_scores_codex":[0.9993135,0.0001432228,0.0000693429,0.0002533753,0.00011357,0.000107045],"domain_scores_gemma":[0.9988329,0.000412102,0.0002494357,0.0001776099,0.0001742251,0.0001537244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004167173,0.0001789758,0.8738123,0.001205823,0.004418741,0.000760301,0.0005108705,0.00240213,0.002856054,0.0003283269,0.08418749,0.0251718],"study_design_scores_gemma":[0.0003520282,0.0001153838,0.9763556,0.000247395,0.001573054,0.001083385,0.0004080514,0.001329422,0.0005073447,0.0003895044,0.01758986,0.0000489193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6589692,0.004306513,0.0002574399,0.0006879715,0.00004226534,0.00002603572,0.3344247,0.00008819057,0.00119762],"genre_scores_gemma":[0.5024622,0.002025231,0.0007561789,0.00042269,0.00005907259,0.0001233948,0.493077,0.00007174924,0.001002488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02226293,"threshold_uncertainty_score":0.0442667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688125900700837,"score_gpt":0.3289802243166732,"score_spread":0.3020989653096648,"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."}}