{"id":"W3193416680","doi":"10.1093/neuros/nyab311","title":"Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study","year":2021,"lang":"en","type":"article","venue":"Neurosurgery","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Hospital for Sick Children","funders":"National Cancer Institute","keywords":"Medicine; Artificial intelligence; Magnetic resonance imaging; Classifier (UML); Machine learning; Medulloblastoma; Pilocytic astrocytoma; Logistic regression; Pattern recognition (psychology); Radiology; Computer science; Astrocytoma; Pathology; Glioma; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001631667,0.00020136,0.0003948174,0.0001654664,0.00013565,0.00005988495,0.00004936524,0.00003649111,0.0001834233],"category_scores_gemma":[0.0008391782,0.0001752219,0.0002681265,0.0003278249,0.00001570714,0.0000620589,0.00006162535,0.0001005583,0.00003358889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004885217,"about_ca_system_score_gemma":0.000149618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001516546,"about_ca_topic_score_gemma":0.00001709489,"domain_scores_codex":[0.9984555,0.00007261641,0.0003774971,0.0004702751,0.0003445416,0.0002796096],"domain_scores_gemma":[0.9983774,0.0007924426,0.0001147706,0.000311636,0.0002384628,0.0001652673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001106017,0.0058527,0.9838159,0.00007453516,0.00006675809,0.002587254,0.00004361392,0.00000348313,0.0004044756,0.00001717718,0.004045525,0.002977975],"study_design_scores_gemma":[0.003709967,0.0004841112,0.9880274,0.00002450655,0.0003994754,0.000296527,0.00005043164,0.0001245674,0.002343571,0.00001525632,0.004373163,0.0001510537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994625,0.001056876,0.000007890058,0.002342052,0.0007187208,0.0009095274,0.0001520129,0.00007444335,0.0001134825],"genre_scores_gemma":[0.9958895,0.00005267359,0.0002688637,0.001597227,0.0003857331,0.001436839,0.0001114297,0.00004311281,0.0002145928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005368589,"threshold_uncertainty_score":0.7145342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699014675237968,"score_gpt":0.2928605235600181,"score_spread":0.2658703768076384,"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."}}