{"id":"W4410808952","doi":"10.1200/jco.2025.43.16_suppl.569","title":"Interferon signaling and outcomes in triple-negative breast cancer (TNBC) in FinXX, CALGB 40603 (Alliance) and real-world clinico-genomic data.","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cytokine Signaling Pathways and Interactions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Translational Research in Oncology","funders":"National Institutes of Health; Breast Cancer Research Foundation","keywords":"Medicine; Triple-negative breast cancer; Oncology; Triple negative; Internal medicine; Breast cancer; Cancer; Alliance; Cancer research","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":[0.0008932111,0.0002248803,0.0002793579,0.0005259121,0.000401252,0.0005221049,0.0003842553,0.0003435431,0.001952592],"category_scores_gemma":[0.0008784386,0.0001387911,0.0002116144,0.0007694957,0.0002702412,0.0001719103,0.0006617025,0.0004045324,0.0003762948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009573528,"about_ca_system_score_gemma":0.0006134085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02698718,"about_ca_topic_score_gemma":0.06413119,"domain_scores_codex":[0.9996536,0.00004342758,0.00002483443,0.0001300615,0.00008048375,0.00006766632],"domain_scores_gemma":[0.9995908,0.0000530582,0.0001193676,0.00006095853,0.00007034226,0.0001054573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002247713,0.0001073109,0.9828922,0.00004224919,0.0001515723,0.000107429,0.0001245359,0.0002282831,0.003317715,0.00006891905,0.003142685,0.007569382],"study_design_scores_gemma":[0.00007685989,0.0001270797,0.9968243,0.00001590721,0.00007926165,0.0002300504,0.0001146223,0.0003850767,0.0002660305,0.00004454486,0.001831061,0.000005108586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920358,0.0003090277,0.0001143099,0.0001046911,0.000007440054,0.0000194,0.00637175,0.00001291124,0.00102457],"genre_scores_gemma":[0.9843258,0.00008822393,0.0001998317,0.0001129445,0.000005686285,0.00003857719,0.01459839,0.000007002539,0.0006236481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02698718,"threshold_uncertainty_score":0.05366021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598699335998634,"score_gpt":0.5108996234774432,"score_spread":0.3510296898775798,"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."}}