{"id":"W4403049836","doi":"10.1038/s41467-024-52844-y","title":"Cell fixation improves performance of in situ crosslinking mass spectrometry while preserving cellular ultrastructure","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"In situ; Reagent; Chemistry; Formaldehyde; Biophysics; Mass spectrometry; Interactome; Cell; Fixation (population genetics); Membrane; Biochemistry; Chromatography; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009844173,0.001195233,0.0004858838,0.0005080863,0.0005309529,0.0008924328,0.0004744543,0.0007272346,0.002341608],"category_scores_gemma":[0.0008233332,0.0003312297,0.0002708443,0.0004049253,0.0005416816,0.0006219566,0.0005225692,0.0008610435,0.001064044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103128,"about_ca_system_score_gemma":0.0005122864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219303,"about_ca_topic_score_gemma":0.002412353,"domain_scores_codex":[0.999396,0.000125133,0.00005359245,0.0001908568,0.0001411859,0.00009329653],"domain_scores_gemma":[0.9990904,0.0004335976,0.0001464395,0.0001380509,0.0001370179,0.00005448993],"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":[0.00002013716,0.000005372011,0.00009565606,0.00002582843,0.000002136217,0.00001541952,0.00001751719,0.00003041276,0.9992581,0.00005556819,0.00002599283,0.0004478605],"study_design_scores_gemma":[0.000002472499,0.00003643638,0.0009562925,0.000004220843,0.000007744852,0.00004430167,0.00001385313,0.0003860231,0.997034,0.00004781321,0.00146323,0.000003702384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7985488,0.005479153,0.1857465,0.001192849,0.0003192897,0.0002157249,0.001188601,0.001594323,0.005714921],"genre_scores_gemma":[0.8478981,0.006272259,0.1360818,0.0005193856,0.00009005303,0.0003075914,0.001725187,0.001066148,0.006039435],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002341608,"threshold_uncertainty_score":0.007833421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009497454072539917,"score_gpt":0.2633977294678061,"score_spread":0.2539002753952662,"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."}}