{"id":"W4414755521","doi":"10.1039/d5an00839e","title":"Detection of carbapenemase-mediated antimicrobial resistance using surface-enhanced Raman scattering","year":2025,"lang":"en","type":"article","venue":"The Analyst","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Antibiotics; Antimicrobial; Raman scattering; Antibiotic resistance; Bacteria; Drug resistance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005602057,0.000565993,0.0002360725,0.0003852252,0.0002326489,0.0004781414,0.0004575056,0.0007535922,0.001191681],"category_scores_gemma":[0.0006907202,0.00022193,0.0003819746,0.000318977,0.0004778458,0.0004673053,0.0004013084,0.0005770521,0.0004903685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150267,"about_ca_system_score_gemma":0.000213828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000525885,"about_ca_topic_score_gemma":0.0008317537,"domain_scores_codex":[0.9992802,0.0001576989,0.00004155865,0.0001891308,0.0002588331,0.00007262079],"domain_scores_gemma":[0.9995926,0.0001760594,0.00009425427,0.00003704419,0.00008130458,0.00001881147],"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":[0.00002374699,0.00001911279,0.0003183804,0.00007909515,0.00001012205,0.00005381879,0.00003133557,0.0002382654,0.9952084,0.0003197555,0.0001169049,0.003581151],"study_design_scores_gemma":[0.00000415747,0.0001397503,0.0009633916,0.000009336643,0.000007324586,0.0001632227,0.00006188144,0.005152043,0.991522,0.0001622724,0.00179587,0.00001875883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8356318,0.005086931,0.145188,0.0007104672,0.0003607036,0.0001389911,0.0004284304,0.0008762135,0.0115785],"genre_scores_gemma":[0.9209974,0.002465432,0.07247146,0.0002568713,0.00004813626,0.00007490296,0.0002875818,0.00004593168,0.003352337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001191681,"threshold_uncertainty_score":0.003986537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009290653315141947,"score_gpt":0.3040383540997008,"score_spread":0.2947477007845588,"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."}}