{"id":"W2111432604","doi":"10.1074/mcp.m112.021881","title":"Coomassie Blue as a Near-infrared Fluorescent Stain: A Systematic Comparison With Sypro Ruby for In-gel Protein Detection","year":2013,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Marianopolis College","funders":"Canadian Institutes of Health Research","keywords":"Fluorescence; Chemistry; Chromatography; Coomassie Brilliant Blue; Stain; Mass spectrometry; Fluorescent labelling; Staining; Pathology; Medicine","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":[0.006126921,0.002197753,0.001988373,0.004802087,0.001067073,0.002344398,0.001624149,0.001600358,0.0009298836],"category_scores_gemma":[0.006571598,0.0009909973,0.0009706602,0.003309368,0.001695474,0.001811735,0.001385917,0.00170512,0.0009870275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009604457,"about_ca_system_score_gemma":0.001227444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045924,"about_ca_topic_score_gemma":0.002557813,"domain_scores_codex":[0.9909827,0.002637646,0.0008561003,0.001519631,0.003697667,0.0003062074],"domain_scores_gemma":[0.9931142,0.002947525,0.001336871,0.0006465728,0.001724604,0.0002303793],"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":[0.000165998,0.00008997403,0.0008066917,0.001758309,0.00009593054,0.0001431034,0.0001350448,0.0001982942,0.9752584,0.0002692954,0.0002157651,0.02086324],"study_design_scores_gemma":[0.00001418023,0.0005902365,0.006171545,0.0001490226,0.0001763571,0.001932894,0.00009896258,0.001363212,0.9781049,0.0002380355,0.01109478,0.00006587445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4382345,0.1883052,0.3579363,0.001150665,0.0007555187,0.001125219,0.001003484,0.001665263,0.009823838],"genre_scores_gemma":[0.4373116,0.1003865,0.4491788,0.0009314928,0.0003157541,0.001167083,0.002761356,0.001686379,0.006261135],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006126921,"threshold_uncertainty_score":0.03240269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006703134724495807,"score_gpt":0.2287109154172232,"score_spread":0.2220077806927274,"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."}}