{"id":"W2588903294","doi":"10.1093/neuonc/now212.342","title":"GENT-36. THE GENOMIC LANDSCAPE OF SCHWANNOMA","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Neurofibromatosis and Schwannoma Cases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Schwannoma; Biology; Cancer research; Fusion gene; Exome; Schwann cell; MAPK/ERK pathway; Gene; Exome sequencing; Genetics; Medicine; Pathology; Mutation; Signal transduction; Cell 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":[0.0001917943,0.0001539618,0.0004154388,0.0000979345,0.0000724185,0.000007214124,0.0002038182,0.000115444,0.0005341912],"category_scores_gemma":[0.0002443528,0.00007755621,0.0001565392,0.0001381772,0.0002233206,0.00004739713,0.0001196254,0.0001607297,0.0002189901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004610534,"about_ca_system_score_gemma":0.0002532382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007638266,"about_ca_topic_score_gemma":0.000004064599,"domain_scores_codex":[0.9986494,0.0001742507,0.0003873397,0.0003007113,0.0001861483,0.0003022176],"domain_scores_gemma":[0.9983955,0.0006842659,0.0001808963,0.0005272623,0.00008149406,0.0001305498],"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":[0.0004405949,0.0001307069,0.01749604,0.00002092955,0.00003255098,0.0003978621,0.00007289583,4.236331e-7,0.9473808,0.0006096254,0.01819526,0.01522235],"study_design_scores_gemma":[0.00401246,0.003792611,0.09627452,0.00004826858,0.0001623621,0.003508946,0.0001236048,0.00002797426,0.2174914,0.0001582868,0.6742184,0.0001811091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768024,0.0003058561,0.00002142519,0.01153874,0.0005127145,0.0003224991,0.00002141035,0.00005524662,0.01041969],"genre_scores_gemma":[0.9971525,0.0001213685,0.000144809,0.001999675,0.0002803945,0.00002477859,0.000002852514,0.00003148744,0.0002421326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7298893,"threshold_uncertainty_score":0.5849019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429780488512628,"score_gpt":0.2798568398297943,"score_spread":0.255559034944668,"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."}}