{"id":"W2468396337","doi":"10.1021/acs.jproteome.6b00199","title":"Automated SDS Depletion for Mass Spectrometry of Intact Membrane Proteins though Transmembrane Electrophoresis","year":2016,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Proteome; Chromatography; Membrane protein; Chemistry; Sodium dodecyl sulfate; Transmembrane protein; Lysis; Mass spectrometry; Gel electrophoresis; Two-dimensional gel electrophoresis; Tandem mass spectrometry; Membrane; Proteomics; Biochemistry","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":[0.001917595,0.0001878413,0.000461889,0.0005040868,0.000154313,0.00003276825,0.0006471439,0.0002237562,0.0003573874],"category_scores_gemma":[0.0005511576,0.0001279152,0.0002744232,0.0007063826,0.0001809104,0.0002373834,0.00004351796,0.0006151396,0.000005437587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003663748,"about_ca_system_score_gemma":0.0003230969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001245031,"about_ca_topic_score_gemma":0.000001836901,"domain_scores_codex":[0.9973165,0.00009639466,0.0008493255,0.0002772429,0.0008753734,0.000585141],"domain_scores_gemma":[0.9973738,0.0003890721,0.0005292438,0.0004343167,0.001101921,0.0001716874],"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":[0.0008240844,0.0001721115,0.00006403146,0.0004865738,0.0000803993,0.000007273276,0.00003054389,0.000004838139,0.9949083,0.001027154,0.0002052517,0.002189439],"study_design_scores_gemma":[0.001255587,0.0007006247,0.00005159485,0.0004132223,0.00002212684,0.00005703989,0.0000311999,0.0001809792,0.9806106,0.01452072,0.002004444,0.0001518728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5027819,0.0003448895,0.4899893,0.003561871,0.00002420309,0.002066287,0.0001193558,0.0001743657,0.0009378971],"genre_scores_gemma":[0.7339675,0.0008204827,0.2637998,0.000004694778,0.0002640499,0.0005136724,0.000004258839,0.00005943152,0.0005660343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311857,"threshold_uncertainty_score":0.5216231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591061143765507,"score_gpt":0.3650657491616904,"score_spread":0.3291551377240354,"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."}}