{"id":"W3149839255","doi":"10.1016/j.jid.2021.03.016","title":"Genomic Landscape of Malignant Peripheral Nerve Sheath Tumor‒Like Melanoma","year":2021,"lang":"en","type":"article","venue":"Journal of Investigative Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Genomics; Trillium Health Centre; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; Jewish General Hospital; University Health Network; University of Toronto; McGill University","funders":"Government of Ontario; Department of Veterans' Affairs, Australian Government; Princess Margaret Cancer Foundation","keywords":"Melanoma; Exome sequencing; Malignant peripheral nerve sheath tumor; Sarcoma; Medicine; Malignancy; Cancer research; Exome; Cancer; Pathology; Biology; Neurofibromatosis; Internal medicine; Mutation; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001124316,0.0001411889,0.0001948776,0.0006549987,0.0003263188,0.0005557553,0.0002475456,0.0003665094,0.003748204],"category_scores_gemma":[0.0009530821,0.0001332587,0.000201927,0.0008196341,0.0001959594,0.0002587822,0.0003500359,0.000324545,0.0003160483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347047,"about_ca_system_score_gemma":0.0001861115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00171157,"about_ca_topic_score_gemma":0.00209857,"domain_scores_codex":[0.9997829,0.00003938664,0.00001323885,0.00007683802,0.00004415193,0.00004364155],"domain_scores_gemma":[0.9996758,0.0001096232,0.0001257383,0.00001890314,0.00003162391,0.00003839894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000977142,0.0000921531,0.8601034,0.0002481321,0.0004167354,0.003262772,0.0007299458,0.001646179,0.05739008,0.002971564,0.003688514,0.06847342],"study_design_scores_gemma":[0.00001875276,0.0001260409,0.9806545,0.00005695382,0.0002809302,0.003992748,0.0005418446,0.00143464,0.002453435,0.003065708,0.007359602,0.00001488154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894091,0.003160924,0.0007008587,0.001327809,0.00003215266,0.00001309041,0.001848422,0.00003619043,0.003471407],"genre_scores_gemma":[0.9976029,0.0005906518,0.0002309655,0.000214199,0.00002984482,0.000005873769,0.000645196,0.000009984377,0.0006704985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003748204,"threshold_uncertainty_score":0.01253903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749193325623732,"score_gpt":0.2467443298532871,"score_spread":0.2292523965970497,"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."}}