{"id":"W4404377478","doi":"10.1038/s41598-024-78189-6","title":"AI tool for predicting MGMT methylation in glioblastoma for clinical decision support in resource limited settings","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Glioblastoma; Methylation; Computer science; Resource (disambiguation); Decision support system; Bioinformatics; Computational biology; Data science; Medicine; Artificial intelligence; Biology; Cancer research; Gene; Computer network; Genetics","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":[0.001549035,0.0006805246,0.0005738427,0.002213047,0.0002844325,0.001141088,0.0005347112,0.0005328725,0.001298948],"category_scores_gemma":[0.005757868,0.0001641003,0.0005723128,0.0007694279,0.0001910976,0.0005350566,0.0005800563,0.0007152795,0.0004096477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000635976,"about_ca_system_score_gemma":0.0009876207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003957008,"about_ca_topic_score_gemma":0.004049883,"domain_scores_codex":[0.9994666,0.0002405098,0.00005517693,0.00008358304,0.0001087924,0.0000453408],"domain_scores_gemma":[0.9982016,0.001203078,0.0002046599,0.00007219058,0.0002412449,0.00007724714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007598396,0.0005456253,0.1026212,0.0002477719,0.0003266736,0.0006300979,0.0001972387,0.3054348,0.006464527,0.00300235,0.009789554,0.5699803],"study_design_scores_gemma":[0.00002961616,0.0001648024,0.007924997,0.00004584636,0.00007792995,0.0001914834,0.00008311065,0.9839976,0.001923094,0.00381869,0.001723959,0.00001884788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3851464,0.002451715,0.5940959,0.004757921,0.0001471167,0.0005290853,0.003292897,0.003616256,0.005962581],"genre_scores_gemma":[0.9142095,0.0003659251,0.08294829,0.0002552572,0.00008340896,0.0001638531,0.001339428,0.00003434909,0.0005999206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003957008,"threshold_uncertainty_score":0.008192182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043701025125044,"score_gpt":0.3753558887617702,"score_spread":0.3549188785105198,"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."}}