{"id":"W3047919807","doi":"10.1136/jitc-2020-000915","title":"Discovery and validation of surface <i>N</i>-glycoproteins in MM cell lines and patient samples uncovers immunotherapy targets","year":2020,"lang":"en","type":"article","venue":"Journal for ImmunoTherapy of Cancer","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; University of Toronto; Midwest Athletes Against Childhood Cancer","keywords":"Flow cytometry; Immunotherapy; Cell; Proteome; Medicine; Glycoprotein; Cell culture; Mass cytometry; Cancer research; Computational biology; Bioinformatics; Chemistry; Immunology; Biology; Molecular biology; Internal medicine; Cancer; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001345574,0.0001415252,0.0003961629,0.00007595996,0.00005510441,0.00002748075,0.0000547736,0.00005333118,0.00005015713],"category_scores_gemma":[0.00003633178,0.000106313,0.0001012378,0.0001118039,0.00007918259,0.0002089003,0.00001374455,0.0001328857,1.407075e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006536469,"about_ca_system_score_gemma":0.0001611101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005738444,"about_ca_topic_score_gemma":0.00002406745,"domain_scores_codex":[0.9989302,0.00004308065,0.0004204649,0.0001504312,0.0002701994,0.0001856525],"domain_scores_gemma":[0.9993025,0.0001039029,0.0002796637,0.00009457575,0.000138445,0.00008093083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01200522,0.0002740902,0.1430718,0.0003298445,0.000407385,0.000008167965,0.002673409,0.0003671712,0.7785507,0.000007489497,0.0002013467,0.0621034],"study_design_scores_gemma":[0.01612085,0.003170266,0.04823274,0.000332436,0.00003661708,0.00001321392,0.0005186644,0.0002323478,0.9238521,0.0001485318,0.007187289,0.0001549763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626275,0.0347996,0.0004628061,0.001224513,0.00008113338,0.0006706152,0.0001082225,0.000004171167,0.00002147455],"genre_scores_gemma":[0.9698471,0.02757848,0.002175287,0.0002275172,0.00004575953,0.00002014196,0.000009567293,0.00002584496,0.00007033765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1453013,"threshold_uncertainty_score":0.433532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659038686089481,"score_gpt":0.3168505820342918,"score_spread":0.290260195173397,"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."}}