{"id":"W1507315797","doi":"10.1007/978-1-61779-139-0_16","title":"Use of Colloidal Silica-Beads for the Isolation of Cell-Surface Proteins for Mass Spectrometry-Based Proteomics","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Membrane; Chemistry; Chromatography; Colloidal silica; Ultracentrifuge; Bead; Centrifugation; Electrophoresis; Lysis; Mass spectrometry; Protein purification; Biochemistry; Materials science; Coating; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005898236,0.000133333,0.0002672798,0.00005381914,0.00004087411,0.000003529974,0.0002744562,0.0002214847,0.0000144175],"category_scores_gemma":[0.0003313884,0.0001108333,0.0001401418,0.0001909197,0.0001456945,0.00001843542,0.00003872921,0.0001296479,7.51462e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004998374,"about_ca_system_score_gemma":0.00005594499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005611215,"about_ca_topic_score_gemma":0.000003330745,"domain_scores_codex":[0.9990115,0.00009098207,0.0003946504,0.000263894,0.00003996791,0.0001990613],"domain_scores_gemma":[0.9985074,0.0005438754,0.0003373267,0.0004621844,0.0001273514,0.00002187076],"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":[0.0001860487,0.00008791468,0.0004717408,0.00009837799,0.00001675612,7.847945e-8,0.00002756043,0.0002627227,0.9886506,0.009914606,0.00000196907,0.0002816462],"study_design_scores_gemma":[0.0003769653,0.0001642326,0.00001018704,0.00001229062,0.00002655103,3.426298e-7,0.00001671307,0.008032741,0.9697167,0.02130642,0.000226616,0.0001102935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03320207,0.00005469767,0.9643674,0.00005701984,0.00001319316,0.002017564,0.0001437154,0.00002345285,0.0001208894],"genre_scores_gemma":[0.03805051,0.000008942003,0.9602942,0.0000287691,0.000009744403,0.001512237,0.00002645819,0.00002751776,0.00004160092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01893394,"threshold_uncertainty_score":0.4519649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05101772245095251,"score_gpt":0.3709023589263976,"score_spread":0.3198846364754451,"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."}}