{"id":"W3196732079","doi":"10.3390/ijms22179566","title":"Slow Off-Rate Modified Aptamer (SOMAmer) Proteomic Analysis of Patient-Derived Malignant Glioma Identifies Distinct Cellular Proteomes","year":2021,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba; Canada's Michael Smith Genome Sciences Centre; Children's Hospital Research Institute of Manitoba; CancerCare Manitoba; Research Institute in Oncology and Hematology; University of Manitoba","funders":"","keywords":"Proteome; Glioma; Proteomics; Oligodendroglioma; Aptamer; Computational biology; Biology; Astrocytoma; Glioblastoma; Cancer research; Bioinformatics; Molecular biology; Gene; 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":[0.0001538871,0.0002579622,0.0002042503,0.0004219669,0.0001095316,0.0002996603,0.00009967678,0.000238204,0.0005863374],"category_scores_gemma":[0.0002880012,0.00009421127,0.0001706609,0.0003353602,0.0001354546,0.0001298156,0.0001555865,0.00024227,0.0002412942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568926,"about_ca_system_score_gemma":0.00009445037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002432275,"about_ca_topic_score_gemma":0.0003956259,"domain_scores_codex":[0.9998693,0.00001680688,0.000008994395,0.00004065143,0.00004720418,0.00001702388],"domain_scores_gemma":[0.9999,0.00002591326,0.00003209873,0.000009175626,0.00001995566,0.00001297651],"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":[0.0002162415,0.00002206997,0.004981811,0.00002712288,0.00001774428,0.00007486332,0.00004084593,0.0002013057,0.9912212,0.00003502014,0.00006715244,0.003094573],"study_design_scores_gemma":[0.00001496048,0.0005362781,0.06624206,0.000005258509,0.00005509968,0.001420853,0.00006414991,0.003233671,0.9268845,0.000141306,0.001388583,0.0000132625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966222,0.0002372705,0.002174664,0.00002938736,0.000004656633,0.00001675847,0.0004699722,0.00006749124,0.0003775685],"genre_scores_gemma":[0.9935459,0.0002730814,0.003996165,0.00005528723,0.000003998582,0.00002609204,0.001291454,0.00002500985,0.0007828527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005863374,"threshold_uncertainty_score":0.00196147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009977313591189736,"score_gpt":0.2717039442350393,"score_spread":0.2617266306438495,"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."}}