{"id":"W2058586913","doi":"10.1002/pmic.200400902","title":"Peptide mass fingerprinting by matrix‐assisted laser desorption ionization mass spectrometry of proteins detected by immunostaining on nitrocellulose","year":2004,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Chemistry; Collodion; Chromatography; Mass spectrometry; Nitrocellulose; Gel electrophoresis; Protein mass spectrometry; Peptide mass fingerprinting; Sodium dodecyl sulfate; Matrix-assisted laser desorption/ionization; Proteome; Bovine serum albumin; Peptide; Polyacrylamide gel electrophoresis; Tandem mass spectrometry; Biochemistry; Membrane; Proteomics; Desorption; Enzyme","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":[0.0008828478,0.0008459484,0.0005826426,0.001024876,0.0003827249,0.0005608617,0.0006830263,0.0004775882,0.001202864],"category_scores_gemma":[0.0005536017,0.0002997621,0.0004229223,0.0006872768,0.0003321594,0.0006170471,0.0002504882,0.0007092729,0.001438775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300248,"about_ca_system_score_gemma":0.0002571869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005091213,"about_ca_topic_score_gemma":0.0005798874,"domain_scores_codex":[0.9996365,0.00006857681,0.00003367252,0.00007614731,0.0001421525,0.00004286363],"domain_scores_gemma":[0.9996966,0.00009115709,0.00005417386,0.00004934021,0.0000820433,0.00002675396],"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":[0.00001770518,0.000011058,0.0000602387,0.00003977888,0.000004477228,0.00003615937,0.000009410525,0.0000335314,0.9974142,0.00007569206,0.00002699368,0.002270634],"study_design_scores_gemma":[0.00001465513,0.0001702641,0.002972843,0.000008273713,0.00003042895,0.0006415315,0.00002279188,0.002026608,0.9893284,0.0002374821,0.00453333,0.00001339877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5178003,0.007957781,0.4636402,0.0005252262,0.0002065222,0.0005259952,0.001598376,0.001751341,0.005994349],"genre_scores_gemma":[0.4574989,0.01068254,0.5198167,0.0002774754,0.0001359672,0.0007142385,0.003119453,0.0002633765,0.007491351],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001202864,"threshold_uncertainty_score":0.004669011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007670085869694786,"score_gpt":0.2413982422204357,"score_spread":0.2337281563507409,"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."}}