{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006338318,0.0005218198,0.0003498309,0.0007112727,0.0001516767,0.0004170382,0.0002802933,0.0004368188,0.0002821917],"category_scores_gemma":[0.0007243027,0.0001837271,0.0003073502,0.0004281674,0.0002375784,0.0003992589,0.0004417898,0.0002879957,0.0003678362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277191,"about_ca_system_score_gemma":0.0002178986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004752571,"about_ca_topic_score_gemma":0.0005637307,"domain_scores_codex":[0.999201,0.0001598887,0.00008075432,0.0001849084,0.0002906758,0.00008278414],"domain_scores_gemma":[0.9996734,0.00008581849,0.00007944168,0.00003491384,0.00009591216,0.00003055129],"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":[0.0001044132,0.00004095978,0.00415975,0.00005931494,0.000008384054,0.0000753273,0.00002153853,0.0001095582,0.9816301,0.00002393149,0.00003857864,0.0137282],"study_design_scores_gemma":[0.00002677111,0.0007296191,0.04631125,0.00001991256,0.00007580047,0.002247659,0.0001180066,0.005140831,0.9430069,0.00009538269,0.00219313,0.00003484592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243568,0.004119423,0.06918819,0.0001305627,0.0000434121,0.0002012099,0.0006790025,0.0002502684,0.00103116],"genre_scores_gemma":[0.920938,0.001620273,0.07578301,0.0001276372,0.00002769802,0.00007337792,0.0009139305,0.00002468642,0.0004913608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007112727,"threshold_uncertainty_score":0.003352106,"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."}}