{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04557524,0.001032281,0.003030821,0.01156686,0.000530749,0.005704281,0.001375145,0.002018195,0.003118501],"category_scores_gemma":[0.1416018,0.0006995999,0.003983409,0.006577824,0.002396116,0.00379425,0.002083629,0.002256128,0.0003726265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004999546,"about_ca_system_score_gemma":0.01034025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005474428,"about_ca_topic_score_gemma":0.00886214,"domain_scores_codex":[0.9532875,0.0296694,0.01105879,0.001352269,0.004344339,0.0002876343],"domain_scores_gemma":[0.7610769,0.2175413,0.0113407,0.002380152,0.007126204,0.0005347643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004532975,0.00003307714,0.001653506,0.590979,0.005236814,0.0001074381,0.0007506944,0.0009985022,0.0002442647,0.008275243,0.008035796,0.3832322],"study_design_scores_gemma":[0.0002426027,0.0004040051,0.005116147,0.8553264,0.01180685,0.0003847344,0.001014468,0.0007991536,0.0007180194,0.02053209,0.1035478,0.0001078165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001123121,0.9868363,0.001774535,0.00723976,0.0003972651,0.0002781762,0.0004363333,0.00002146094,0.001893023],"genre_scores_gemma":[0.04636062,0.9308465,0.01493653,0.005149508,0.0008404024,0.001104569,0.0003923289,0.00003181279,0.0003377439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04557524,"threshold_uncertainty_score":0.2410278,"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."}}