{"id":"W4413927588","doi":"10.1093/neuonc/noaf185.063","title":"DEVELOPING A NOVEL HUMAN MODEL OF MINIMAL RESIDUAL DISEASE IN GLIOBLASTOMA","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Glioblastoma; Minimal residual disease; Residual; Cancer research; Computer science; Computational biology; Biology; Medicine; Internal medicine; Leukemia; Algorithm","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":[0.0006150051,0.0006069465,0.0006499965,0.0005936793,0.0003974534,0.000862854,0.0007980011,0.001003391,0.003762385],"category_scores_gemma":[0.0002215623,0.0003317498,0.0005805395,0.000337376,0.0004838122,0.0004661344,0.0005022874,0.001509304,0.001559121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006653079,"about_ca_system_score_gemma":0.000730281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960705,"about_ca_topic_score_gemma":0.002790198,"domain_scores_codex":[0.9995647,0.00005993742,0.00004636484,0.00009833847,0.0001620697,0.00006859138],"domain_scores_gemma":[0.9998447,0.0000197284,0.00002925498,0.0000324342,0.00003382654,0.00004006175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004995881,0.0003117649,0.0004223911,0.0003890039,0.00003704707,0.0005208168,0.0001865258,0.001079763,0.985261,0.002037926,0.001762684,0.007491421],"study_design_scores_gemma":[0.0002366544,0.00369866,0.0046023,0.0001913995,0.0002065889,0.002690218,0.0002998656,0.01169994,0.8729127,0.001896286,0.1014896,0.00007583561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7666998,0.01196337,0.1834996,0.002166273,0.001993313,0.002031494,0.01230013,0.001637336,0.01770873],"genre_scores_gemma":[0.8983074,0.007490604,0.05824853,0.0007052344,0.0001067322,0.002855502,0.00947524,0.0002527832,0.02255774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003762385,"threshold_uncertainty_score":0.01258647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05322905011578462,"score_gpt":0.3661837462940857,"score_spread":0.3129546961783011,"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."}}