{"id":"W3200626583","doi":"10.1093/neuonc/noab213","title":"A molecularly integrated grade for meningioma","year":2021,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute; Brain Tumour Charity; Brain Science Foundation","keywords":"Meningioma; Grading (engineering); Medicine; CDKN2A; Cohort; Proportional hazards model; Oncology; Radiosurgery; Radiology; Internal medicine; Radiation therapy; Cancer; Biology","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":[0.0001952439,0.0001712461,0.0004247886,0.0001382105,0.00008153707,0.00002612322,0.000104568,0.000147445,0.0001888396],"category_scores_gemma":[0.0004718028,0.0001571598,0.0001861767,0.0003398137,0.00005251696,0.00004386085,0.00008506422,0.0002168053,0.00005097092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321487,"about_ca_system_score_gemma":0.0003497038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000820501,"about_ca_topic_score_gemma":0.000005049108,"domain_scores_codex":[0.9985424,0.0001408283,0.0003181282,0.0004437118,0.000182597,0.0003722896],"domain_scores_gemma":[0.9989465,0.0002241692,0.00008771648,0.0003551393,0.0002057494,0.0001806563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003229241,0.0003218459,0.0003258742,0.00006857516,0.0001459637,0.01543823,0.0002744354,0.000003511234,0.9457285,0.005540942,0.02053073,0.01129842],"study_design_scores_gemma":[0.003744645,0.002234255,0.0004815096,0.00002619626,0.0002802889,0.003497893,0.0003182666,0.001151463,0.1407954,0.0005550307,0.846741,0.0001740702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238328,0.00050315,0.01894361,0.01915871,0.00128381,0.001182637,0.00001527557,0.0002445752,0.0348354],"genre_scores_gemma":[0.9679569,0.00001082427,0.02536383,0.004079473,0.0002454863,0.0002587971,0.0001587093,0.00004981159,0.00187614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8262103,"threshold_uncertainty_score":0.6408792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997511988925675,"score_gpt":0.323123957431469,"score_spread":0.2831488375422123,"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."}}