{"id":"W2464297356","doi":"10.1002/9780470015902.a0002686.pub3","title":"Gel‐Staining Techniques – Dyeing to Know It All","year":2016,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Staining; Coomassie Brilliant Blue; Stain; Chromatography; Quantitative proteomics; Chemistry; Proteomics; Computer science; Biochemistry; Pathology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00295128,0.002117198,0.001612217,0.003296042,0.001641086,0.003638328,0.00215986,0.002222686,0.03387804],"category_scores_gemma":[0.003309052,0.001274438,0.0009609038,0.002569204,0.002473443,0.00524046,0.002453038,0.006114056,0.07553679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102975,"about_ca_system_score_gemma":0.001856373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086789,"about_ca_topic_score_gemma":0.00170287,"domain_scores_codex":[0.9965361,0.0005660959,0.0003276237,0.0006586744,0.00170502,0.0002065288],"domain_scores_gemma":[0.9972644,0.0004614983,0.0001998833,0.0009322757,0.0009856124,0.0001562895],"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":[0.0002452153,0.0001921507,0.0005836944,0.003596169,0.00009211682,0.0006724083,0.0008184422,0.00040615,0.5227219,0.02996877,0.1223093,0.3183936],"study_design_scores_gemma":[0.00001118985,0.00005738985,0.0004515917,0.0002743669,0.00002217783,0.00089954,0.00009774499,0.0002872121,0.123996,0.005024677,0.8688234,0.00005461309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01216338,0.054989,0.7355114,0.01337636,0.01059562,0.00106221,0.00342623,0.02167453,0.1472012],"genre_scores_gemma":[0.04219028,0.09383211,0.5387429,0.009884396,0.002031855,0.00167427,0.008298723,0.01442213,0.2889234],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03387804,"threshold_uncertainty_score":0.1133333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577875105032954,"score_gpt":0.3212378350383922,"score_spread":0.3054590839880627,"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."}}