{"id":"W2041391850","doi":"10.1039/b924805f","title":"Membrane protein structural insights from chemical labeling and mass spectrometry","year":2010,"lang":"en","type":"review","venue":"The Analyst","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Bacteriorhodopsin; Mass spectrometry; Membrane protein; Electrospray ionization; Hydrogen–deuterium exchange; Membrane; Structural biology; Tandem mass spectrometry; Chromatography; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009062405,0.0004610183,0.001183356,0.0001315603,0.0001747301,0.0001325142,0.000817312,0.0005103683,0.002626246],"category_scores_gemma":[0.00003538838,0.0002837025,0.000350595,0.0005563779,0.0001386433,0.00004331574,0.0001925077,0.001455173,0.00003092752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008053231,"about_ca_system_score_gemma":0.00005517198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000113011,"about_ca_topic_score_gemma":0.00001137381,"domain_scores_codex":[0.998306,0.00003450074,0.0005331954,0.0005760537,0.0002713885,0.0002788408],"domain_scores_gemma":[0.9981636,0.0001601784,0.000391317,0.001133851,0.00003516275,0.0001159383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001101035,0.00006276943,0.000009019726,0.007963426,0.00127352,0.00002823243,0.00006496636,1.023459e-7,0.6465762,0.02566485,0.0001518261,0.3181941],"study_design_scores_gemma":[0.0001113601,0.000006154487,3.735448e-7,0.001549864,0.001451016,0.00003008454,0.00001658472,0.00006491179,0.03358716,0.009774987,0.952841,0.0005664877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002939266,0.9879261,0.0000562282,0.00007144152,0.00001877807,0.0003312839,0.0001536615,0.0001833017,0.00831989],"genre_scores_gemma":[0.003254426,0.986646,0.007766229,0.00001497658,0.0007620155,0.0002020083,0.0005143382,0.00007924182,0.0007607819],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9526892,"threshold_uncertainty_score":0.9999615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805556736553986,"score_gpt":0.2875514826503446,"score_spread":0.2694959152848047,"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."}}