{"id":"W4403645761","doi":"10.1128/spectrum.02276-24","title":"Multi-year comparison of VITEK MS performance for identification of rarely encountered pathogenic Gram-negative organisms (GNOs) in a large integrated Canadian healthcare region","year":2024,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bacilli; Clinical microbiology; 16S ribosomal RNA; Microbiology; Medicine; Biology; Bacteria; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003466179,0.0001320338,0.0002421536,0.0001726723,0.00005734713,0.00001781759,0.0001742956,0.0002237811,0.00001662076],"category_scores_gemma":[0.0001574986,0.0001328322,0.00007703975,0.0002363827,0.00009712231,0.000008464271,0.00003043149,0.0001246037,0.000006371726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009349526,"about_ca_system_score_gemma":0.0002823476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004217909,"about_ca_topic_score_gemma":0.1115716,"domain_scores_codex":[0.9986411,0.0001126294,0.0005647937,0.0003920135,0.00002505056,0.0002644486],"domain_scores_gemma":[0.9993498,0.00002775602,0.0001741019,0.0002539648,0.0001452587,0.00004915152],"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":[0.00008006386,0.00007061682,0.03007146,0.0001410685,0.00002670801,7.028455e-7,0.0006269144,0.000004790473,0.9683717,0.0001192368,0.0002057482,0.0002809991],"study_design_scores_gemma":[0.0006656135,0.000340877,0.04595533,0.000113731,0.00001674313,0.00001379057,0.0007486913,0.001617257,0.9487984,0.00005292786,0.001502018,0.0001746861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963133,0.000424008,0.001610005,0.0003259016,0.0002996224,0.0004774627,0.0005269516,0.00001498003,0.000007796073],"genre_scores_gemma":[0.9976571,0.00004973821,0.0005603645,0.00004302495,0.00003437258,0.00002604535,0.001479969,0.00001878884,0.0001306098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073537,"threshold_uncertainty_score":0.9046398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020420071831334,"score_gpt":0.2825930307615503,"score_spread":0.2623888300432369,"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."}}