{"id":"W4412468916","doi":"10.1021/acs.analchem.5c01286","title":"Rapid Screening of Methicillin-Resistant <i>Staphylococcus aureus</i> Using MALDI-TOF MS and Machine Learning: A Randomized, Multicenter Study","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"National Research Foundation of Korea","keywords":"Chemistry; Staphylococcus aureus; Methicillin-resistant Staphylococcus aureus; Microbiology; Matrix-assisted laser desorption/ionization; Bacteria; Organic chemistry","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":[0.01068809,0.001475505,0.002624805,0.000620425,0.0006263175,0.001148683,0.0009118483,0.001965264,0.00248016],"category_scores_gemma":[0.009230905,0.0007944696,0.001771869,0.0009514114,0.00153249,0.001383689,0.0008423405,0.001338307,0.0005689004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008582772,"about_ca_system_score_gemma":0.001627249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010296,"about_ca_topic_score_gemma":0.0006904615,"domain_scores_codex":[0.9919481,0.005205997,0.0005481088,0.00110173,0.0007298999,0.0004661698],"domain_scores_gemma":[0.9930327,0.002198456,0.001615811,0.0008728512,0.0009819919,0.001298158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9003108,0.0354481,0.02429153,0.0003775852,0.001565038,0.0001022202,0.0001776575,0.0005555883,0.0068809,0.0001225501,0.0004781794,0.02968997],"study_design_scores_gemma":[0.2593282,0.6637989,0.06384702,0.00009803407,0.00236956,0.0003547325,0.0002159265,0.004807142,0.003261911,0.0002056793,0.001595988,0.0001169776],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926516,0.001047365,0.002155961,0.0001645093,0.0001426207,0.003192194,0.0001863335,0.00003927565,0.0004201686],"genre_scores_gemma":[0.9896722,0.0006312779,0.004500818,0.0004305003,0.0002179311,0.00364544,0.0004179597,0.0000286003,0.0004554089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068809,"threshold_uncertainty_score":0.05652475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800292128451815,"score_gpt":0.2946734146168064,"score_spread":0.2666704933322882,"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."}}