{"id":"W2024562122","doi":"10.1007/s00216-012-6065-9","title":"Advancing formaldehyde cross-linking towards quantitative proteomic applications","year":2012,"lang":"en","type":"review","venue":"Analytical and Bioanalytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Formaldehyde; Reagent; Chemistry; Mass spectrometry; Nanotechnology; Environmental chemistry; Computational biology; Biochemical engineering; Chromatography; Biology; Materials science; Organic chemistry; Engineering","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":[0.001075714,0.002315124,0.001026838,0.001962575,0.0003021499,0.0007445173,0.001123371,0.001197218,0.003069234],"category_scores_gemma":[0.0006423797,0.0005589538,0.0005075577,0.001347458,0.000669785,0.001989482,0.001057759,0.001819931,0.003123877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006715661,"about_ca_system_score_gemma":0.0007306419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005183519,"about_ca_topic_score_gemma":0.001106308,"domain_scores_codex":[0.999626,0.00003727621,0.0000235175,0.00008399971,0.0001917484,0.00003750135],"domain_scores_gemma":[0.9996628,0.0001160482,0.00005365688,0.00002541451,0.0001156082,0.00002652305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006963115,0.0001040561,0.0001167792,0.007969945,0.00007031388,0.0001735666,0.00003965542,0.0006738154,0.1167179,0.006664296,0.01036309,0.857037],"study_design_scores_gemma":[0.0000141045,0.0001883537,0.0005923994,0.0008089287,0.0001297256,0.00108269,0.00003751077,0.0006904504,0.1361428,0.003757474,0.8565154,0.00004026449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001991433,0.9491861,0.03670237,0.0005887846,0.001429864,0.00005785614,0.00008977324,0.0001951359,0.00975866],"genre_scores_gemma":[0.005993011,0.9718745,0.01151026,0.000720491,0.000717038,0.00005004182,0.000136328,0.00003093909,0.008967416],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003069234,"threshold_uncertainty_score":0.01026756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04253123542360765,"score_gpt":0.3707960239187573,"score_spread":0.3282647884951497,"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."}}