{"id":"W2051734689","doi":"10.1016/j.ab.2010.11.008","title":"High-performance liquid chromatography separation and intact mass analysis of detergent-solubilized integral membrane proteins","year":2010,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Knut och Alice Wallenbergs Stiftelse; Karolinska Institutet; Ontario Ministry of Research, Innovation and Science; Novartis Foundation; Stiftelsen för Strategisk Forskning; Ontario Genomics Institute; Canada Foundation for Innovation; Wellcome Trust; Stiftelsen för Strategisk Forskning; Genome Canada; Ontario Innovation Trust; Merck; GlaxoSmithKline","keywords":"Chromatography; Chemistry; Integral membrane protein; Mass spectrometry; Membrane protein; Liquid chromatography–mass spectrometry; Membrane; Solubilization; High-performance liquid chromatography; Quantitative analysis (chemistry); Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001320026,0.0002235479,0.0004349879,0.0001882949,0.0000729675,0.00003407501,0.0002624609,0.0002771837,0.003443708],"category_scores_gemma":[0.00006655203,0.0002040164,0.0002263373,0.001064029,0.0002309717,0.0000670536,0.0000666349,0.0003783293,0.000003156759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002598877,"about_ca_system_score_gemma":0.00003435887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005556953,"about_ca_topic_score_gemma":0.00001207859,"domain_scores_codex":[0.9985944,0.000006672386,0.0004632813,0.0004379681,0.0002434592,0.0002542233],"domain_scores_gemma":[0.9988698,0.00005178533,0.0001774354,0.0006347277,0.00009902263,0.0001672799],"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":[0.00007120055,0.0001119783,0.006298312,0.0001527384,0.0004188524,9.916606e-7,0.000007683617,0.000003399929,0.9914313,0.001265286,0.00003331473,0.0002049375],"study_design_scores_gemma":[0.0002144449,0.00004964255,0.0008876,0.00002004767,0.0006233825,0.000003731421,0.00001320079,0.01039692,0.9872656,0.0001441338,0.0001643851,0.0002169427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947859,0.00001960466,0.0004385186,0.0001438015,0.00001151362,0.00008387166,0.00006598842,0.0001103298,0.004340481],"genre_scores_gemma":[0.9951102,0.00006336043,0.0042525,0.00002034284,0.00005884939,0.0000662008,0.0002082728,0.00001573755,0.0002045318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01039352,"threshold_uncertainty_score":0.9974673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006301808384222396,"score_gpt":0.2607419215736734,"score_spread":0.254440113189451,"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."}}