{"id":"W4416928116","doi":"10.1016/j.trecan.2025.11.007","title":"The evolving landscape of brain metastasis: volume II","year":2025,"lang":"en","type":"article","venue":"Trends in cancer","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agencia Estatal de Investigación; Breast Cancer Research Foundation; European Regional Development Fund; Instituto de Salud Carlos III; NextGenerationEU; Canadian Institutes of Health Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institutes of Health; Ministerio de Ciencia e Innovación; Engineering Research Centers; Fundación Científica Asociación Española Contra el Cáncer; Université de Lausanne; Ludwig Institute for Cancer Research","keywords":"Clinical trial; Central nervous system; Precision medicine; Brain metastasis; Cancer; Therapeutic approach; Key (lock); Metastasis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002994965,0.0000987789,0.000244214,0.0001171828,0.00008296427,0.000008195331,0.00007921425,0.00003360409,0.00101199],"category_scores_gemma":[0.00005865559,0.00006037243,0.0001015542,0.0005477545,0.00005451091,0.00002673886,0.00005187105,0.0001060986,0.000002550833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008427761,"about_ca_system_score_gemma":0.00007606013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004682764,"about_ca_topic_score_gemma":0.001073339,"domain_scores_codex":[0.9992347,0.00004598242,0.0002327063,0.0001599809,0.0001407626,0.0001858315],"domain_scores_gemma":[0.9994873,0.00009627854,0.00005751666,0.0002862006,0.00004020765,0.00003250638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000163788,0.0002139342,0.05435514,0.0000550411,0.000436497,0.00001813918,0.0003018581,0.00005497013,0.00009944277,0.001251945,0.1615492,0.7815001],"study_design_scores_gemma":[0.00523629,0.0004519338,0.3980856,0.0004943484,0.0006100067,0.00000779858,0.0005692548,0.001690165,0.00155684,0.0004897224,0.5906365,0.0001716149],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5833584,0.1385292,0.0002065649,0.1779233,0.001520238,0.0006670164,0.0002499812,0.0001201158,0.09742518],"genre_scores_gemma":[0.9684411,0.0003218849,0.0003951867,0.0005355266,0.00004666271,0.00007900884,0.00001366373,0.000009014667,0.030158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7813284,"threshold_uncertainty_score":0.9999012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313606875122835,"score_gpt":0.3505779666158598,"score_spread":0.3274418978646315,"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."}}