{"id":"W4383872241","doi":"10.1007/978-3-031-29750-2_11","title":"Genomic Landscape of Meningiomas","year":2023,"lang":"en","type":"article","venue":"Advances in experimental medicine and biology","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Brain Tumour Charity","keywords":"Context (archaeology); Biology; Chromosome; Genetics; Computational biology; Gene","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":[0.0003230029,0.0002429274,0.0003403281,0.001477377,0.0004498497,0.001153399,0.0003566262,0.0006081475,0.004495972],"category_scores_gemma":[0.002871057,0.000154503,0.0003453223,0.001701064,0.0004170738,0.0005138884,0.000676841,0.0006348835,0.0004244203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004590271,"about_ca_system_score_gemma":0.0005544823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532241,"about_ca_topic_score_gemma":0.00217415,"domain_scores_codex":[0.9995301,0.000116115,0.00003301026,0.0001500827,0.00009510677,0.00007562481],"domain_scores_gemma":[0.9989138,0.0004830571,0.0003105267,0.00008186537,0.0001087425,0.0001020816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001493215,0.0001489031,0.6995742,0.0007251399,0.001189119,0.005206498,0.001553337,0.003904252,0.04132994,0.02543607,0.01144091,0.2079985],"study_design_scores_gemma":[0.00004317054,0.0002567716,0.888741,0.0003517614,0.0007071614,0.009094286,0.001476641,0.002360479,0.004956474,0.04248514,0.04946974,0.00005728262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247199,0.02905759,0.004579299,0.01759303,0.0001627708,0.00003420534,0.009632131,0.0001622188,0.01405878],"genre_scores_gemma":[0.9869685,0.006722392,0.001154884,0.0009886498,0.0001734281,0.00001780061,0.002871848,0.00003327216,0.001069265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004495972,"threshold_uncertainty_score":0.01504052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114167745872221,"score_gpt":0.366483434623023,"score_spread":0.3253417571643007,"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."}}