{"id":"W2006987680","doi":"10.1007/s12268-013-0375-0","title":"Fluoreszenzmarkierung von Proteinen für 1D- und 2D-PAGE","year":2013,"lang":"de","type":"article","venue":"BIOspektrum","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Electrophoresis Solutions (Canada)","funders":"","keywords":"Labelling; Chemistry; Fluorescence; Silver stain; Electrophoresis; Multiplex; Fluorescent labelling; Staining; Chromatography; Gel electrophoresis of proteins; Molecular biology; Polyacrylamide gel electrophoresis; Biochemistry; Biology; Enzyme; Bioinformatics","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":[0.001505096,0.002849718,0.001090396,0.001564947,0.001161358,0.001538656,0.001042338,0.001769415,0.003379289],"category_scores_gemma":[0.001475281,0.001201738,0.0008703235,0.001144278,0.0009024781,0.00225645,0.001595779,0.003802109,0.003289038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110055,"about_ca_system_score_gemma":0.0006328805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005433306,"about_ca_topic_score_gemma":0.0007996198,"domain_scores_codex":[0.9985765,0.0002487328,0.0001206334,0.0003807727,0.0003562723,0.0003170743],"domain_scores_gemma":[0.9996229,0.0001663095,0.00003848945,0.00007128988,0.00005396861,0.00004693267],"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":[0.000297715,0.0001334809,0.0001487055,0.0004850412,0.0000465693,0.0002267576,0.0001935322,0.001233367,0.9710887,0.002421453,0.001092763,0.02263197],"study_design_scores_gemma":[0.00002937136,0.0001492127,0.0007774339,0.00003403084,0.00002029706,0.0002983422,0.00004288605,0.003464543,0.9822149,0.002096129,0.01082896,0.00004392803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4261848,0.0199374,0.5270137,0.002998866,0.001312086,0.000714915,0.003308824,0.003829125,0.01470021],"genre_scores_gemma":[0.502451,0.03897605,0.4293736,0.001372025,0.000315643,0.003126425,0.00737385,0.001024167,0.01598728],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003379289,"threshold_uncertainty_score":0.01130486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009831222107996024,"score_gpt":0.2786721696828463,"score_spread":0.2688409475748503,"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."}}