{"id":"W1921698342","doi":"10.1186/s12866-015-0557-7","title":"The development and application of a molecular community profiling strategy to identify polymicrobial bacterial DNA in the whole blood of septic patients","year":2015,"lang":"en","type":"article","venue":"BMC Microbiology","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Calgary","funders":"Alberta Innovates - Health Solutions","keywords":"Biology; Sepsis; DNA extraction; Microbiology; Whole blood; Blood culture; DNA profiling; Bacteria; DNA; Lysis; Immunology; Polymerase chain reaction; Gene; Genetics; Antibiotics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008852016,0.00008864495,0.0001219642,0.0000293796,0.00007659622,0.00002001204,0.0002848229,0.00008154041,7.403115e-7],"category_scores_gemma":[0.000249184,0.00006494678,0.00002641305,0.00008309595,0.0001169971,0.000003159595,0.0001249089,0.00007534536,0.000002105326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009701445,"about_ca_system_score_gemma":0.0001170295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007727429,"about_ca_topic_score_gemma":0.0008549336,"domain_scores_codex":[0.9988148,0.0004748523,0.00037923,0.000162775,0.00003446247,0.0001338506],"domain_scores_gemma":[0.9993047,0.00004519448,0.0001519951,0.0003276881,0.000141023,0.00002942372],"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":[0.0000797926,0.0001257141,0.0117661,0.00002318532,0.00001216188,5.186061e-8,0.000478123,0.000005866226,0.9869187,0.0000334064,0.00002179855,0.0005350583],"study_design_scores_gemma":[0.0006809271,0.0002155915,0.03796799,0.000009156669,0.00001161629,0.000005486858,0.0006805361,0.000002497906,0.9597372,0.00003002257,0.00057631,0.00008263085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990817,0.00004240256,0.0003115583,0.00002365127,0.00006909839,0.000414477,0.00002685579,0.000002872062,0.0000273923],"genre_scores_gemma":[0.998619,9.857367e-7,0.0009188829,0.00003543955,0.00001884781,0.0000261375,0.0003638898,0.000006503564,0.00001026952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02718151,"threshold_uncertainty_score":0.2648453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615912369697154,"score_gpt":0.2827529205585051,"score_spread":0.2565937968615336,"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."}}