{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005711396,0.0003766916,0.0002275952,0.000414468,0.000226886,0.0003420397,0.0001817966,0.0003562015,0.0007492154],"category_scores_gemma":[0.0004518732,0.00008506423,0.0002818462,0.0003231403,0.0002225757,0.0001035968,0.0002127132,0.0004446323,0.0003553605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597018,"about_ca_system_score_gemma":0.0003254095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009106272,"about_ca_topic_score_gemma":0.001008648,"domain_scores_codex":[0.9996903,0.00005463012,0.00002892229,0.00006449771,0.0001189818,0.00004272896],"domain_scores_gemma":[0.9998462,0.00002992238,0.00003052588,0.00001813393,0.00005470403,0.0000205021],"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":[0.0002550637,0.00009913743,0.01743161,0.00008819341,0.00003927718,0.0001549758,0.00007177428,0.0002428528,0.9730864,0.00009026763,0.000350846,0.008089525],"study_design_scores_gemma":[0.00003741556,0.000800064,0.08625121,0.00003710829,0.00009903068,0.001781984,0.0001180782,0.003133726,0.9019849,0.0001362189,0.005611165,0.000009067823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914324,0.0009821242,0.005170451,0.0001473833,0.0000257961,0.0001291164,0.0009384047,0.00007948298,0.0010948],"genre_scores_gemma":[0.9833361,0.0009369554,0.01152901,0.0002784792,0.0000203027,0.0001466382,0.002758677,0.00002497872,0.0009688139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009106272,"threshold_uncertainty_score":0.003020525,"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."}}