{"id":"W4411878222","doi":"10.1093/noajnl/vdaf145","title":"Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Cancer Institute; National Institutes of Health; William M. Wood Foundation","keywords":"Medicine; Multicenter study; Artificial intelligence; Radiology; Computer science; Pathology","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":[0.001382407,0.0004402534,0.0003286836,0.000735083,0.0003061567,0.0006810754,0.0004495706,0.0003586318,0.0006568866],"category_scores_gemma":[0.004074361,0.000250764,0.0004029142,0.0008809302,0.0003789627,0.0007375136,0.0005802159,0.0004373002,0.0002377858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005411534,"about_ca_system_score_gemma":0.0004680152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004231447,"about_ca_topic_score_gemma":0.004072798,"domain_scores_codex":[0.9994441,0.0001955035,0.00004475898,0.0001780505,0.0000592461,0.00007838159],"domain_scores_gemma":[0.9973078,0.0004393673,0.001124781,0.0003632236,0.0004103035,0.0003545896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005782862,0.0001399098,0.9922698,0.00001184813,0.00008455976,0.0001161666,0.000129303,0.0002073463,0.0004864816,0.00002117008,0.0001866009,0.005768512],"study_design_scores_gemma":[0.00005833086,0.0009892769,0.9950778,0.00001270037,0.0001112275,0.0007871775,0.0003797803,0.001511409,0.0005439879,0.00006461375,0.0004515968,0.00001196547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994844,0.00008676186,0.0001110089,0.00001432915,0.000001055618,0.000008156911,0.0002343346,0.000003941029,0.00005600624],"genre_scores_gemma":[0.9989274,0.00007280038,0.0002249388,0.00001214956,0.000005392589,0.0000150547,0.0006862322,0.000005824855,0.00005010793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004231447,"threshold_uncertainty_score":0.008413672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764865926163044,"score_gpt":0.376215772806694,"score_spread":0.3485671135450635,"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."}}