{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003658277,0.0003675129,0.0003332442,0.0002294823,0.0002436056,0.00009873692,0.0004406855,0.0003018821,0.0005970625],"category_scores_gemma":[0.0002677087,0.0003465602,0.0002734142,0.0004890859,0.0001426984,0.00001884603,0.00007776441,0.0002107432,0.00005602242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008678195,"about_ca_system_score_gemma":0.0001980279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002963064,"about_ca_topic_score_gemma":0.0001556493,"domain_scores_codex":[0.9973819,0.0001176459,0.0003905544,0.0008228852,0.0003710149,0.0009160368],"domain_scores_gemma":[0.9987938,0.00003396617,0.0001279875,0.0006902964,0.0001765316,0.0001774117],"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":[0.001197571,0.0001403994,0.0006066068,0.0000306304,0.0001268554,0.00001013261,0.00002326469,0.000001393455,0.9929115,0.0004071317,0.002907447,0.001637134],"study_design_scores_gemma":[0.001560603,0.001813164,0.006548598,0.00001310108,0.00004193341,0.00001844673,0.00003018216,0.00006685164,0.978517,0.001958048,0.00896046,0.0004716363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864,0.003446767,0.1279998,0.0003341858,0.0003217526,0.001670478,0.00004456631,0.00007026603,0.002112257],"genre_scores_gemma":[0.9712068,0.0004708782,0.02035732,0.0001488629,0.0003720218,0.0004102949,0.0001890515,0.00009668704,0.006748089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076425,"threshold_uncertainty_score":0.9998986,"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."}}