{"id":"W2553187824","doi":"10.1016/j.cjca.2015.07.358","title":"BACTERIAL 16S RIBOSOMAL DNA SEQUENCING FOR IDENTIFICATION OF PATHOGENS IN INFECTIVE ENDOCARDITIS","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Infective Endocarditis Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Endocarditis; Medicine; Pathogen; Microbiology; 16S ribosomal RNA; Infective endocarditis; Ribosomal RNA; Microbiological culture; Polymerase chain reaction; Heart valve; Internal medicine; Bacteria; Biology; Immunology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001317931,0.0006890164,0.0009693193,0.003140129,0.0008641001,0.001131522,0.0006239161,0.0005885218,0.001038295],"category_scores_gemma":[0.003439504,0.0004987573,0.0007071367,0.00160724,0.0005787892,0.0004543436,0.0004515215,0.0007074164,0.0003748442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007999323,"about_ca_system_score_gemma":0.002452063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006346,"about_ca_topic_score_gemma":0.04199826,"domain_scores_codex":[0.9980363,0.0002543459,0.000297426,0.0002033293,0.0009420706,0.0002665364],"domain_scores_gemma":[0.9983222,0.0002871338,0.0002840041,0.00004744094,0.0008032326,0.0002560808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002184201,0.0005753245,0.4442452,0.001276725,0.0002552997,0.008125804,0.003237145,0.0009877486,0.4418737,0.0004422893,0.002283965,0.09451263],"study_design_scores_gemma":[0.00008779291,0.002109917,0.8367423,0.00111297,0.00076091,0.01073822,0.00690819,0.004493506,0.1186473,0.0004979707,0.01780198,0.00009887706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808827,0.007794192,0.003336938,0.0007137028,0.0002712299,0.0002855787,0.001496909,0.00006871344,0.005149964],"genre_scores_gemma":[0.9788751,0.004972934,0.01259924,0.0005109936,0.0001425968,0.00008794785,0.001138847,0.00003140324,0.00164099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02006346,"threshold_uncertainty_score":0.03989333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606284990144076,"score_gpt":0.2752220588484804,"score_spread":0.2391592089470396,"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."}}