{"id":"W4416426290","doi":"10.1016/j.ctarc.2025.101040","title":"Artificial intelligence in Glioblastoma Diagnostics: Integrating MRI, histopathology, and molecular profiling","year":2025,"lang":"en","type":"article","venue":"Cancer Treatment and Research Communications","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Genetic Engineering and Biotechnology","keywords":"Workflow; Profiling (computer programming); Glioblastoma; Precision medicine; Applications of artificial intelligence; Molecular diagnostics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002881208,0.0001158942,0.000208986,0.0003891792,0.0002865754,0.00004182031,0.0001203535,0.00006549635,0.000009478863],"category_scores_gemma":[0.0002429277,0.00008912167,0.00003243825,0.0004678846,0.000469374,0.00003737922,0.0002117205,0.0002419774,0.000002939329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004029167,"about_ca_system_score_gemma":0.0002008498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007783819,"about_ca_topic_score_gemma":0.001820072,"domain_scores_codex":[0.9990106,0.0001850642,0.0002219207,0.0002495721,0.00009869918,0.0002341853],"domain_scores_gemma":[0.9985164,0.0006638128,0.00002640356,0.000562639,0.000145026,0.00008574389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002032264,0.00227149,0.3212167,0.0001159859,0.0001742264,0.0001944172,0.002140321,0.00001442784,0.0122555,0.1248276,0.0001665398,0.5364195],"study_design_scores_gemma":[0.007954087,0.008884842,0.2251027,0.008751854,0.001579773,0.0002174356,0.02697489,0.04100179,0.5422129,0.09872695,0.03713246,0.001460377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014041,0.07184727,0.0001536396,0.02339793,0.00004093696,0.001093303,0.00001678961,0.00002854073,0.002017471],"genre_scores_gemma":[0.9537294,0.04225913,0.002629189,0.00007185111,0.00001203497,0.001205599,0.00001578847,0.000008142725,0.00006887134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5349591,"threshold_uncertainty_score":0.3634276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08045639848709268,"score_gpt":0.4391610403349627,"score_spread":0.35870464184787,"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."}}