{"id":"W2884690521","doi":"10.1186/s12866-018-1211-y","title":"Bacterial DNA patterns identified using paired-end Illumina sequencing of 16S rRNA genes from whole blood samples of septic patients in the emergency room and intensive care unit","year":2018,"lang":"en","type":"article","venue":"BMC Microbiology","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Foothills Medical Centre; University of Calgary","funders":"Alberta Innovates; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale","keywords":"Sepsis; Biology; Blood culture; DNA extraction; Intensive care unit; Whole blood; Microbiology; Streptococcus; Bacteria; Immunology; Polymerase chain reaction; Medicine; Gene; Internal medicine; Antibiotics; Genetics","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":[0.0003391567,0.0003933003,0.0003097659,0.0007880953,0.0003121444,0.0005400983,0.000229577,0.000370915,0.0009548891],"category_scores_gemma":[0.0008979517,0.000157621,0.0003902027,0.0007568626,0.0002643913,0.0001491933,0.0003858097,0.0003835321,0.0006401153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076707,"about_ca_system_score_gemma":0.0002844379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005330197,"about_ca_topic_score_gemma":0.0009654224,"domain_scores_codex":[0.9993748,0.00009106181,0.00008618813,0.0001722902,0.0002100587,0.00006566157],"domain_scores_gemma":[0.9995255,0.00008218845,0.000112124,0.00002557303,0.0002083432,0.00004623793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006098567,0.0001313449,0.07084875,0.0003823806,0.00008048715,0.0004940273,0.0008360007,0.0003390808,0.906358,0.00008222426,0.0003125505,0.01952534],"study_design_scores_gemma":[0.00002964576,0.001681742,0.4405939,0.0001710696,0.0002908175,0.003743511,0.001870302,0.004555142,0.5404081,0.0003133501,0.006277377,0.00006503004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853097,0.0005933631,0.00975549,0.00008144871,0.00003937663,0.0001067961,0.002893377,0.00005775258,0.001162861],"genre_scores_gemma":[0.9505992,0.0009509916,0.03975356,0.0002901626,0.00003840324,0.0002090178,0.006450768,0.00005287239,0.001655094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009548891,"threshold_uncertainty_score":0.003194451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04482425950427814,"score_gpt":0.2693336596996436,"score_spread":0.2245094001953655,"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."}}