{"id":"W3003922027","doi":"10.1101/2020.01.22.915280","title":"The neoantigen landscape of mycosis fungoides","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cutaneous lymphoproliferative disorders research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Bispebjerg Hospital; Alberta Innovates; University of Alberta; Canadian Dermatology Foundation","keywords":"Mycosis fungoides; Biology; Cutaneous T-cell lymphoma; Lymphoma; Population; Exome; Exome sequencing; Immunology; Medicine; Mutation; Genetics; Gene","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":[0.0001276945,0.0002036451,0.000261627,0.0005131155,0.0002762222,0.0004097375,0.0001052115,0.0002974995,0.001129905],"category_scores_gemma":[0.0003447099,0.0000981651,0.0001787552,0.0005827597,0.0001565059,0.0002368743,0.0002722748,0.00017548,0.0003122736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668627,"about_ca_system_score_gemma":0.00009201503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003738909,"about_ca_topic_score_gemma":0.0004547611,"domain_scores_codex":[0.9998937,0.00001644418,0.000008810133,0.00003713455,0.00002293344,0.0000210119],"domain_scores_gemma":[0.9998636,0.00003548786,0.00004835374,0.000008595404,0.00002173662,0.00002219994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005241968,0.00004718064,0.1471267,0.0004504682,0.00007967266,0.001710392,0.0006208959,0.00169305,0.8208895,0.0003167366,0.000587807,0.02595327],"study_design_scores_gemma":[0.00002825084,0.0003727516,0.903248,0.0001427716,0.0001419372,0.008309397,0.0008423612,0.009230378,0.06486045,0.002349254,0.0104402,0.00003419431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971706,0.0008082844,0.0007350227,0.00004406884,0.000003810152,0.00000751446,0.000784697,0.00001924089,0.0004267939],"genre_scores_gemma":[0.9968118,0.0003571307,0.001096654,0.00005544157,0.000006791473,0.00001320893,0.001401551,0.00001293343,0.0002444953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001129905,"threshold_uncertainty_score":0.003779888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296941458971011,"score_gpt":0.2630850078529819,"score_spread":0.2401155932632718,"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."}}