{"id":"W1986454579","doi":"10.1021/pr049937f","title":"Lectin Affinity as an Approach to the Proteomic Analysis of Membrane Glycoproteins","year":2004,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Concanavalin A; Lectin; Wheat germ agglutinin; Glycoprotein; Affinity chromatography; Membrane protein; Chemistry; Proteomics; Biochemistry; Glycoproteomics; Chromatography; Membrane glycoproteins; Transmembrane protein; Mass spectrometry; Integral membrane protein; Tandem mass spectrometry; Membrane; Glycan; In vitro; Gene; Receptor","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":[0.0005416137,0.0005646825,0.0006566553,0.0009362588,0.0005185881,0.0006670751,0.0005134179,0.0006030236,0.0009783757],"category_scores_gemma":[0.0004695043,0.0002382901,0.0003884468,0.0007239918,0.0003431974,0.0003647262,0.0005736811,0.001011886,0.0008823394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005123053,"about_ca_system_score_gemma":0.0004507532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356695,"about_ca_topic_score_gemma":0.002470574,"domain_scores_codex":[0.9993671,0.0001894253,0.00002972424,0.00010331,0.0002107162,0.00009973217],"domain_scores_gemma":[0.9998,0.00005773152,0.00002021111,0.00001814897,0.00007410845,0.00002977452],"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":[0.00003240975,0.00001587058,0.00009694782,0.00003400061,0.000006322376,0.00001468361,0.00000630954,0.00003208817,0.9976464,0.0001035652,0.00004288835,0.001968489],"study_design_scores_gemma":[0.0000168183,0.0002816077,0.003462799,0.0000135477,0.00003512379,0.0009332519,0.00005122777,0.004167465,0.9816033,0.0004865286,0.008921061,0.00002732437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5977182,0.01078339,0.3782106,0.001318892,0.0003352065,0.0006118974,0.001671121,0.001113973,0.00823669],"genre_scores_gemma":[0.7566137,0.007904557,0.2205412,0.001383828,0.0001142852,0.0004510526,0.002590381,0.0002167063,0.01018441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001356695,"threshold_uncertainty_score":0.003717005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05501685596881509,"score_gpt":0.383731451658165,"score_spread":0.3287145956893499,"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."}}