{"id":"W2077375649","doi":"10.1002/cyto.a.20880","title":"Single amino acid resolution of proteolytic fragments generated in individual cells","year":2010,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Single-cell analysis; Peptide; Protease; Chemistry; Context (archaeology); Substrate (aquarium); Cell; Analyte; Enzyme; Intracellular; Capillary electrophoresis; Amino acid; Resolution (logic); Chromatography; Biochemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001340781,0.0001081479,0.0001464702,0.0002259793,0.00002922841,0.00001403957,0.0001494241,0.0001208621,0.0001589408],"category_scores_gemma":[0.00001388598,0.0001156019,0.00003031178,0.0007295628,0.00003977951,0.00005137335,0.00002502013,0.0002156161,0.00005641901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003826037,"about_ca_system_score_gemma":0.00001973529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005422943,"about_ca_topic_score_gemma":0.000005551665,"domain_scores_codex":[0.9992164,0.00001530583,0.000249511,0.0001448727,0.0001451463,0.0002286986],"domain_scores_gemma":[0.999628,0.00001220854,0.00003597988,0.0002412637,0.00002885983,0.00005370742],"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":[0.00000378669,0.00006686798,0.0008547839,0.00002461702,0.00001549551,0.000001172369,0.00006699683,0.00002974694,0.9883095,0.00004960423,0.009941778,0.0006356272],"study_design_scores_gemma":[0.0002235384,0.00003595699,0.004362929,0.00001145764,0.00001046677,0.000002627595,0.00001330321,0.0004912148,0.9783947,0.00002950312,0.01631124,0.0001130554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954817,0.002528705,0.0007247155,0.000008785428,0.0001466889,0.0002542119,0.0000252867,0.00006992262,0.000759938],"genre_scores_gemma":[0.9987877,0.0006097398,0.0003188427,0.00001470414,0.00006628897,0.00006561508,0.00004435076,0.00002074395,0.00007203703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009914814,"threshold_uncertainty_score":0.4714108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150695388388375,"score_gpt":0.220180895393239,"score_spread":0.2051113565544015,"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."}}