{"id":"W2096989755","doi":"10.1128/jcm.00593-15","title":"Rapid, Sensitive, and Specific Escherichia coli H Antigen Typing by Matrix-Assisted Laser Desorption Ionization–Time of Flight-Based Peptide Mass Fingerprinting","year":2015,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada; Nova Scotia Health Authority; University of Alberta Hospital; Alberta Hospital Edmonton; Ste. Anne's Hospital","funders":"","keywords":"Escherichia coli; Mass spectrometry; Serotype; Matrix-assisted laser desorption/ionization; Typing; Antigen; Microbiology; Peptide mass fingerprinting; Chemistry; Biology; Trypsin; Chromatography; Proteomics; Desorption; Biochemistry; Genetics; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001799102,0.0001215837,0.0004047502,0.00005792423,0.00004645182,0.00002767531,0.0001245081,0.0002673432,0.00002736046],"category_scores_gemma":[0.001432106,0.0001111543,0.0001409287,0.000107473,0.0001749486,0.00001005622,0.000050883,0.00017973,0.000009985284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001541994,"about_ca_system_score_gemma":0.0001556845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002876538,"about_ca_topic_score_gemma":0.000002799033,"domain_scores_codex":[0.9979092,0.0005197293,0.001137048,0.0002394341,0.00004452007,0.0001500836],"domain_scores_gemma":[0.9978826,0.0001793207,0.0009878841,0.0001693243,0.0006598062,0.0001210553],"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":[0.0003459135,0.00009550973,0.01235775,0.00001262561,0.00005138348,0.000001466872,0.00002026362,0.00002531333,0.9835889,0.000003382884,0.002384552,0.001112946],"study_design_scores_gemma":[0.004180394,0.001145898,0.0825641,0.0001475138,0.00008574772,0.0001157593,0.0001948697,0.0004514509,0.8468025,0.00004027731,0.06387261,0.000398859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940916,0.0003544158,0.004778061,0.0002418257,0.0003551375,0.0000938198,0.00002670781,0.000006195474,0.00005228574],"genre_scores_gemma":[0.9875849,0.0001567074,0.01150228,0.0001864401,0.0002701049,5.287535e-7,0.0001295591,0.0000147476,0.000154747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367864,"threshold_uncertainty_score":0.4532739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904217616525236,"score_gpt":0.309663661466119,"score_spread":0.2706214853008666,"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."}}