{"id":"W2986315372","doi":"10.1016/j.ijmm.2019.151376","title":"Untargeted accurate identification of highly pathogenic bacteria directly from blood culture flasks","year":2019,"lang":"en","type":"article","venue":"International Journal of Medical Microbiology","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direction Générale de l’Armement; Ministry of Defence; Ministerie van Defensie; Totalförsvarets Forskningsinstitut; Ontario Ministry of Research, Innovation and Science; Fellowships Fund Incorporated","keywords":"Laboratory flask; Francisella tularensis; Biology; Brucella; Microbiology; Brucella melitensis; Bacteria; Yersinia pestis; Pathogenic bacteria; Brucellosis; Leptospira; Virology; Chemistry; Virulence; Serotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007726807,0.0008687261,0.000547155,0.0007758197,0.0002903977,0.0006755244,0.0005392886,0.000833838,0.0007739305],"category_scores_gemma":[0.001098618,0.0002858175,0.0003097954,0.0003581214,0.0003042105,0.0004963902,0.0008560715,0.0006980571,0.00098634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083937,"about_ca_system_score_gemma":0.0004332084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003670678,"about_ca_topic_score_gemma":0.0008280536,"domain_scores_codex":[0.998624,0.0002488628,0.00007737031,0.0003050379,0.0006365477,0.0001082413],"domain_scores_gemma":[0.9993643,0.000201371,0.0001377404,0.00007220598,0.0001689377,0.0000554461],"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":[0.00003941094,0.00002237041,0.0005018929,0.00004669327,0.000005321609,0.00004103564,0.00001182328,0.00004600309,0.9957861,0.00003940639,0.00007520214,0.003384689],"study_design_scores_gemma":[0.000006295823,0.0001333282,0.003058552,0.00001688662,0.00001883574,0.0002889431,0.00003151582,0.002686436,0.9916863,0.0001054783,0.001951936,0.0000155853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5563936,0.005956627,0.4264001,0.0006179713,0.000430333,0.0006128587,0.003476219,0.002098789,0.004013482],"genre_scores_gemma":[0.6765918,0.003630165,0.3098062,0.0007383954,0.0001210781,0.0006257668,0.003225282,0.0002547131,0.005006633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008687261,"threshold_uncertainty_score":0.004086375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007604760074868126,"score_gpt":0.2655531992545574,"score_spread":0.2579484391796893,"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."}}