{"id":"W4413105905","doi":"10.1093/noajnl/vdaf123.131","title":"TRLS-08 DECODING THE GENE EXPRESSION SIGNATURE OF EARLY AND LATE BREAST CANCER BRAIN METASTASES IN PAIR-MATCHED PATIENT SAMPLES: AN INDIVIDUAL PATIENT DATA META-ANALYSIS","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Oncology; Meta-analysis; Brain metastasis; Breast cancer; Medicine; Cohort; Internal medicine; Gene signature; Hazard ratio; Cancer; Metastasis; Bioinformatics; Gene; Biology; Gene expression; Genetics; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030074,0.000225105,0.0005839987,0.0001282324,0.0001171949,0.00002048973,0.000397731,0.0001511953,0.00004584841],"category_scores_gemma":[0.00006998092,0.0001492903,0.0001809746,0.0003218014,0.0001682569,0.00003404388,0.0002703104,0.0001931849,1.857045e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008136372,"about_ca_system_score_gemma":0.00009718132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001940366,"about_ca_topic_score_gemma":0.001092648,"domain_scores_codex":[0.997951,0.0006085376,0.0004258665,0.0006112872,0.0001586901,0.0002446052],"domain_scores_gemma":[0.9988037,0.0002895441,0.0001908415,0.0005941576,0.00005921843,0.00006248739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000690206,0.0003466428,0.01487019,0.00003693417,0.008177507,0.00002538455,0.001146701,0.006915,0.9337196,0.00003303123,0.0003787317,0.03366001],"study_design_scores_gemma":[0.002573882,0.002478399,0.0361478,0.00003156416,0.04091164,0.00003989677,0.001612163,0.000405167,0.877743,0.000355457,0.03690088,0.0008001273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715688,0.02331043,0.0006085414,0.001557118,0.0001134243,0.0002972965,0.002526797,0.000008157358,0.000009481008],"genre_scores_gemma":[0.9953761,0.001193305,0.001094668,0.001783631,0.00002298593,0.00005788315,0.0004527741,0.00001216374,0.000006450701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05597664,"threshold_uncertainty_score":0.6087884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014349234761541,"score_gpt":0.3204091717386174,"score_spread":0.280265679391002,"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."}}