{"id":"W7132846969","doi":"10.1093/noajnl/vdaf133","title":"Current landscape of single-cell genomics in meningioma","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Epigenome; Genomics; Meningioma; Identification (biology); Transcriptome; Profiling (computer programming); Epigenomics","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":[0.0001792552,0.0001372973,0.0004134467,0.0003673164,0.00003320695,0.000005068903,0.0001333956,0.00006993681,0.00004575768],"category_scores_gemma":[0.0001048313,0.000126706,0.00007199599,0.0003808886,0.0000824466,0.00007023702,0.00009742842,0.0001892594,0.00001035052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008388872,"about_ca_system_score_gemma":0.0001193154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002192173,"about_ca_topic_score_gemma":0.000008913426,"domain_scores_codex":[0.9988394,0.00007708203,0.0004154512,0.0003024453,0.0001199189,0.0002457075],"domain_scores_gemma":[0.9992818,0.0002409635,0.0001430065,0.0002347934,0.00004763304,0.00005183423],"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":[0.001655738,0.002502955,0.2671919,0.00123534,0.00008265114,0.001770838,0.0008339806,0.0005193823,0.5715091,0.004260608,0.00554146,0.1428961],"study_design_scores_gemma":[0.006395823,0.002027541,0.02475094,0.0002313572,0.0002060962,0.0001124675,0.0005406468,0.0006703495,0.08214002,0.001289377,0.8813708,0.0002645731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339418,0.008246922,0.0002822145,0.0007745418,0.0008626104,0.00037717,0.000002338881,0.00003592555,0.05547646],"genre_scores_gemma":[0.9977269,0.0002437322,0.001505056,0.0001888516,0.00005309309,0.00003282467,0.000008708013,0.000009179917,0.0002317102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8758293,"threshold_uncertainty_score":0.516692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974517134610129,"score_gpt":0.302579814498423,"score_spread":0.2828346431523217,"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."}}