{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000437958,0.000313723,0.00121611,0.001421122,0.0000584366,0.0001239539,0.0005121792,0.0001401146,0.000559537],"category_scores_gemma":[0.00006440821,0.0002288159,0.0003072752,0.01108134,0.0005140531,0.0003982163,0.0002383461,0.0005397465,0.000005294015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038298,"about_ca_system_score_gemma":0.0008813925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07877917,"about_ca_topic_score_gemma":0.02028505,"domain_scores_codex":[0.9963725,0.0005064402,0.0008290739,0.0006212199,0.001069053,0.0006017735],"domain_scores_gemma":[0.9977356,0.0009259964,0.0002011657,0.000748446,0.0002438492,0.000144941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005850536,0.0003192899,0.9735968,0.0005192656,0.005573845,0.0001530822,0.004513179,0.008257836,0.0000155215,0.001762443,0.003220645,0.001483005],"study_design_scores_gemma":[0.0006686409,0.0002217818,0.9845824,0.0007709158,0.00367109,0.000004628975,0.0008988514,0.00810788,0.00006614063,0.0001878167,0.000625912,0.0001939444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636529,0.00332464,0.00003778996,0.001556755,0.0001078371,0.001131525,0.02985464,0.00003301786,0.0003008836],"genre_scores_gemma":[0.994343,0.0003026093,0.000182766,0.0002607436,0.0001097181,0.0001721417,0.004502597,0.00003775377,0.00008861109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05849412,"threshold_uncertainty_score":0.9975922,"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."}}