{"id":"W4416760347","doi":"10.21037/tcr-2025-1962","title":"Combining anti-metabolic treatments with the repurposing of eribulin for glioblastoma: a clinical opportunity?","year":2025,"lang":"en","type":"letter","venue":"Translational Cancer Research","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Eribulin; Repurposing; Drug repositioning; Clinical trial","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":[0.002148485,0.0005664261,0.001333809,0.0004200357,0.001426194,0.001793191,0.00101844,0.01986678,0.004771546],"category_scores_gemma":[0.006968912,0.0002782898,0.0009618628,0.00040292,0.001801562,0.002256333,0.0008527352,0.01594012,0.002829191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153693,"about_ca_system_score_gemma":0.002295674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817073,"about_ca_topic_score_gemma":0.005053794,"domain_scores_codex":[0.9989063,0.0003630373,0.0001082182,0.00009865907,0.0003565235,0.0001672546],"domain_scores_gemma":[0.9974883,0.001520416,0.0001691708,0.0000801631,0.0002960548,0.0004458586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005902382,0.000219953,0.0008758332,0.0001382514,0.00005078449,0.002634073,0.00006273111,0.0002552612,0.001216216,0.009524086,0.9133053,0.07112723],"study_design_scores_gemma":[0.0008675628,0.0004313004,0.001301926,0.0002387142,0.00005939057,0.001988452,0.0002025614,0.000864958,0.0009910978,0.03136626,0.9616188,0.00006898447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001211156,0.007782261,0.0002810165,0.9689127,0.01787066,0.00002088641,0.00007308833,0.00004560297,0.003802525],"genre_scores_gemma":[0.01345741,0.009585404,0.0006458526,0.8889378,0.07914019,0.00007422933,0.00007899742,0.00003267924,0.008047423],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01986678,"threshold_uncertainty_score":0.01596248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018152800753914,"score_gpt":0.428077661290602,"score_spread":0.3262623812152106,"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."}}