{"id":"W2106108876","doi":"10.1002/elps.201100341","title":"High‐throughput lectin magnetic bead array‐coupled tandem mass spectrometry for glycoprotein biomarker discovery","year":2011,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Magnetic bead; Biomarker discovery; Mass spectrometry; Tandem; Tandem mass spectrometry; Chemistry; Chromatography; Lectin; Glycoprotein; Throughput; Proteomics; Materials science; Biochemistry; Computer science","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":[0.001024009,0.0008046313,0.0007243624,0.001204206,0.0002989487,0.0005435619,0.0007626779,0.001008858,0.0011978],"category_scores_gemma":[0.0007205434,0.0003005327,0.0005152743,0.0008312798,0.0002455277,0.0004986352,0.0005955058,0.0008103062,0.001401728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007094439,"about_ca_system_score_gemma":0.000779385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152758,"about_ca_topic_score_gemma":0.002176371,"domain_scores_codex":[0.9989091,0.0002949396,0.00005976088,0.0001959914,0.0004616081,0.00007860846],"domain_scores_gemma":[0.9997069,0.00006201669,0.00004989872,0.00002405473,0.0001204577,0.00003651048],"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":[0.0001643591,0.00009092507,0.0007198396,0.0001975508,0.00006484021,0.00007124938,0.00001585431,0.0007270015,0.9715539,0.0003797932,0.001688023,0.02432662],"study_design_scores_gemma":[0.00009612025,0.0005624309,0.006501365,0.00004008493,0.0001091264,0.0006098874,0.00003711856,0.0587742,0.9123111,0.001428852,0.0194006,0.0001291115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2376281,0.02435325,0.7137617,0.002235797,0.000679775,0.001056734,0.004908944,0.007966589,0.007409127],"genre_scores_gemma":[0.4650221,0.008897056,0.5102063,0.002471454,0.000277771,0.001189884,0.004561033,0.0001930416,0.007181242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001204206,"threshold_uncertainty_score":0.005415559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916429282085156,"score_gpt":0.2542255196769805,"score_spread":0.2350612268561289,"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."}}