{"id":"W2120081470","doi":"10.1071/ma13057","title":"Nanoparticle sample preparation and mass spectrometry for rapid diagnosis of microbial infections","year":2013,"lang":"en","type":"article","venue":"Microbiology Australia","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Mass spectrometry; Complex matrix; Biomarker; Sample preparation; Biomarker discovery; Ex vivo; Bacteria; Computational biology; Proteomics; In vivo; Pathogen; Chemistry; Nanotechnology; In vitro; Chromatography; Microbiology; Biology; Materials science; Biotechnology; Biochemistry","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":[0.001774314,0.001179558,0.0007829126,0.001725327,0.0007337885,0.0007440765,0.0008354174,0.001560498,0.003277433],"category_scores_gemma":[0.002185631,0.0006569718,0.0004847248,0.0006564945,0.0005873996,0.0007839533,0.0007327407,0.001479589,0.004318974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005479857,"about_ca_system_score_gemma":0.000784306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004207679,"about_ca_topic_score_gemma":0.001318427,"domain_scores_codex":[0.9978781,0.0004015423,0.0001361429,0.0004041542,0.001077819,0.0001022388],"domain_scores_gemma":[0.9992523,0.0002431177,0.00008685627,0.000108819,0.0002590032,0.00005001936],"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":[0.0000802653,0.00006440408,0.0003199727,0.0002252234,0.00001479448,0.00009597323,0.00005842918,0.0002495924,0.9829615,0.0006421527,0.001020415,0.01426732],"study_design_scores_gemma":[0.0000160259,0.0001810949,0.0009678722,0.00004599853,0.00001672158,0.0003541466,0.00003513589,0.003766812,0.9763947,0.0005107566,0.0176859,0.00002475742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09929132,0.006280161,0.8736132,0.001490633,0.0009977607,0.002213329,0.00154533,0.004443297,0.01012495],"genre_scores_gemma":[0.1472059,0.006104951,0.831003,0.001223443,0.0002064526,0.002690256,0.002025506,0.0005626932,0.008977754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003277433,"threshold_uncertainty_score":0.01096404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394813439733793,"score_gpt":0.2851393465974676,"score_spread":0.2611912122001297,"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."}}