{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005584267,0.0007035834,0.0005369593,0.001218811,0.0004431396,0.0009713327,0.00085597,0.0006172,0.001675235],"category_scores_gemma":[0.01635128,0.0003368329,0.001004131,0.001337519,0.0005224808,0.001280131,0.0009110637,0.001054876,0.0006205332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00091022,"about_ca_system_score_gemma":0.0008812459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00801406,"about_ca_topic_score_gemma":0.00795809,"domain_scores_codex":[0.9976485,0.0009802717,0.0002179912,0.0005264083,0.0004440503,0.0001826762],"domain_scores_gemma":[0.9895428,0.004634241,0.002328492,0.001427447,0.001403503,0.0006634468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003360223,0.00013488,0.9821618,0.00003017909,0.0001479841,0.0001332932,0.00007584028,0.0004660829,0.0001242272,0.00005464884,0.0008470041,0.01548809],"study_design_scores_gemma":[0.00008199293,0.0006646497,0.9823834,0.00006455,0.0003050189,0.001349613,0.0003413757,0.01181488,0.0005677272,0.0002638169,0.002139849,0.00002308676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996509,0.0008467417,0.0008307112,0.0003127091,0.00002240062,0.00003422661,0.00103442,0.00002685182,0.0003828302],"genre_scores_gemma":[0.9954401,0.000766867,0.001416137,0.0001263198,0.00003252073,0.00006163416,0.001898163,0.00003331359,0.0002249214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00801406,"threshold_uncertainty_score":0.02953279,"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."}}