{"id":"W2141627904","doi":"10.1074/mcp.m800446-mcp200","title":"SISCAPA Peptide Enrichment on Magnetic Beads Using an In-line Bead Trap Device","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"National Cancer Institute; National Institutes of Health; Canary Foundation","keywords":"Bead; Chemistry; Chromatography; Magnetic bead; Peptide; Antibody; Mass spectrometry; Materials science; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002106359,0.0003477366,0.0002977799,0.0002499638,0.00006203793,0.00006011188,0.0003090172,0.000265239,0.00000960167],"category_scores_gemma":[0.00002123568,0.0003627517,0.00009300339,0.0003492982,0.00005395017,0.00007144846,0.00004044632,0.0003871724,0.00002127138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472602,"about_ca_system_score_gemma":0.00002619417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003237864,"about_ca_topic_score_gemma":0.000006215896,"domain_scores_codex":[0.9984625,0.00005059026,0.0003680874,0.0003923041,0.0002236071,0.0005029411],"domain_scores_gemma":[0.9992458,0.000008523253,0.00004521145,0.0005821776,0.00003174277,0.00008660201],"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":[0.0000139649,0.000126334,0.00003204767,0.00002595555,0.00000938302,0.0001883237,0.00006884458,0.009695878,0.9815838,0.0002407007,0.0000395056,0.007975259],"study_design_scores_gemma":[0.000420576,0.0003807899,0.0001123823,0.00008481,0.0000282388,0.00002018099,0.00005377772,0.03481938,0.9626513,0.000512173,0.0005020303,0.0004143208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581551,0.002192792,0.03801018,0.0001536586,0.0001228893,0.0005874187,0.000003647624,0.0004596268,0.0003147163],"genre_scores_gemma":[0.9712743,0.0001246502,0.02819368,0.0002367837,0.00004908816,0.00001013486,0.00002715907,0.0000558275,0.00002840153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0251235,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771519057619125,"score_gpt":0.2262839086733042,"score_spread":0.2085687180971129,"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."}}