{"id":"W4400404977","doi":"10.1016/j.ccell.2024.06.011","title":"Medulloblastoma subgrouping at first sight","year":2024,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"Canada Research Chairs","keywords":"Medulloblastoma; Sight; Computer science; Neuroscience; Biology; Cancer research; Physics; Astronomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005623547,0.0006026789,0.0009840745,0.002217268,0.001005775,0.002373491,0.0007731848,0.0007959661,0.007116434],"category_scores_gemma":[0.00466375,0.0001917894,0.001026416,0.001436159,0.0003931893,0.001587678,0.001376476,0.001212014,0.001522157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122209,"about_ca_system_score_gemma":0.001639949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146857,"about_ca_topic_score_gemma":0.02198447,"domain_scores_codex":[0.9993057,0.00007518913,0.00005415407,0.0001439885,0.000155566,0.0002653413],"domain_scores_gemma":[0.9983497,0.0002335109,0.0004404298,0.0001878753,0.0003387349,0.0004497573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00143134,0.00004023641,0.8743356,0.0002142133,0.0005903608,0.003217861,0.000692658,0.0007941749,0.009713862,0.005271673,0.01636171,0.08733622],"study_design_scores_gemma":[0.0000880252,0.0005149242,0.848148,0.0004886115,0.001563126,0.02692604,0.004405537,0.005369057,0.008283577,0.05055632,0.05353244,0.0001243779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256986,0.007453775,0.005481654,0.005632005,0.0006114792,0.0001146488,0.009352795,0.0003982942,0.04525661],"genre_scores_gemma":[0.9930738,0.0006426608,0.001215508,0.0002991165,0.0003173377,0.00002199064,0.001869154,0.0001102912,0.002450031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0146857,"threshold_uncertainty_score":0.02920043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264930020294608,"score_gpt":0.2642990571250908,"score_spread":0.2516497569221447,"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."}}