{"id":"W3129212257","doi":"10.1093/noajnl/vdab033","title":"Malignant transformation of plexiform neurofibroma to MPNST while on MEK inhibitor","year":2021,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Neurofibromatosis and Schwannoma Cases","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; Memorial University of Newfoundland; University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Plexiform neurofibroma; Transformation (genetics); MEK inhibitor; Cancer research; Malignant transformation; Medicine; Dermatology; Neurofibroma; Neurofibromatosis; Pathology; Biology; Cell biology; Genetics","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":[0.000119247,0.0004945589,0.0002354928,0.0007828831,0.0007200714,0.0005814623,0.0003848732,0.0007496565,0.002243049],"category_scores_gemma":[0.0009194678,0.0002242119,0.0003923869,0.0004762437,0.0005064317,0.0006591798,0.0004434562,0.0006734626,0.0006854715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005222211,"about_ca_system_score_gemma":0.0003317211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002745,"about_ca_topic_score_gemma":0.001779913,"domain_scores_codex":[0.9998009,0.00001515114,0.00001830716,0.00004325924,0.00005752344,0.00006486783],"domain_scores_gemma":[0.9997033,0.00005573597,0.00006637583,0.00004004386,0.00003580585,0.00009872857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0003114104,0.0000495711,0.02604694,0.00008617299,0.00002670128,0.9327526,0.0003929705,0.0002241431,0.02360237,0.000691016,0.0008160932,0.01500003],"study_design_scores_gemma":[0.00001458368,0.0001629127,0.02253341,0.0000152645,0.00007657703,0.9582736,0.0003138003,0.0007021266,0.01059844,0.0006717893,0.006623355,0.00001416439],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970247,0.00291461,0.001657797,0.001088877,0.0002240249,0.00007463535,0.0002512755,0.0001644848,0.0233772],"genre_scores_gemma":[0.9967655,0.0006129059,0.0004139223,0.0001466365,0.000083581,0.000008576931,0.0000969121,0.00001156539,0.001860368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002243049,"threshold_uncertainty_score":0.007503748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517092702622442,"score_gpt":0.2981178608107341,"score_spread":0.2729469337845097,"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."}}