{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009876739,0.0001984648,0.0004731657,0.0000406053,0.0001114679,0.00005190993,0.0001729503,0.0001669121,0.00007564486],"category_scores_gemma":[0.001728854,0.0001812848,0.0001804834,0.0001611066,0.0002622133,0.000005161406,0.0002080638,0.0002385624,5.476446e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001312617,"about_ca_system_score_gemma":0.00005548927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001596054,"about_ca_topic_score_gemma":0.0000169865,"domain_scores_codex":[0.9983677,0.0002079331,0.0005733914,0.0004830658,0.000156362,0.0002115199],"domain_scores_gemma":[0.9990119,0.0001577399,0.000168792,0.0003688309,0.0001974675,0.0000953119],"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":[0.003769481,0.000205775,0.01297068,0.0001442193,0.0002882938,0.000002692569,0.00005350588,0.0000483911,0.9821814,0.00002300003,0.00002822359,0.0002843716],"study_design_scores_gemma":[0.04457118,0.0001394124,0.002916323,0.0001752722,0.0008987776,0.00000160471,0.001006474,0.05075778,0.8953736,0.00008163631,0.003512615,0.0005653178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946981,0.0008039533,0.003071322,0.0001131188,0.00003295022,0.0002953095,0.00001453314,0.00001741708,0.0009532736],"genre_scores_gemma":[0.9976843,0.00005585051,0.001073819,0.00009038792,0.00006111974,0.000009988352,0.0000553448,0.00001448886,0.0009547184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08680776,"threshold_uncertainty_score":0.7392579,"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."}}