{"id":"W3008736804","doi":"10.1099/acmi.0.000111","title":"Identification and characterization of invasive multi-drug-resistant (MDR) Bacteroides genomospecies in Canada","year":2020,"lang":"en","type":"article","venue":"Access Microbiology","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Trillium Health Centre; University of Toronto","funders":"","keywords":"Meropenem; Metronidazole; Bacteroides; Microbiology; Penicillin; Drug resistance; Medicine; Antimicrobial drug; Antimicrobial; Antibiotics; Antibiotic resistance; 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":[0.00008658509,0.00009482196,0.0001545929,0.00002720527,0.00003223341,0.00002852788,0.0001988778,0.00005689345,0.00002425772],"category_scores_gemma":[0.0001818599,0.00009951767,0.00001867178,0.00009408204,0.00006318318,0.00001342175,0.0001363203,0.00004711181,0.000001429387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003213545,"about_ca_system_score_gemma":0.0002343402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04358958,"about_ca_topic_score_gemma":0.4914842,"domain_scores_codex":[0.9990952,0.00008809986,0.0003631581,0.000309369,0.00002239577,0.0001217742],"domain_scores_gemma":[0.999499,0.00001907227,0.0001965987,0.0001501392,0.00009322711,0.00004191259],"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":[0.00003766121,0.00001392134,0.07615898,0.00004434861,0.000009690169,6.874301e-7,0.0001242694,0.000002054926,0.9232945,0.000007293589,0.00005392197,0.0002526901],"study_design_scores_gemma":[0.0002034066,0.00001462815,0.367974,0.000006859309,0.000004025622,0.000001875116,0.0000969304,0.00001610032,0.6309336,0.000002023307,0.0006690281,0.00007748778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988408,0.00008963774,0.0001360436,0.0005254542,0.0001012454,0.0001753278,0.0001206007,0.000004517625,0.000006342915],"genre_scores_gemma":[0.9986738,0.0001255784,0.00006897181,0.0003458579,0.00003967122,0.000009035149,0.0006840449,0.00000863581,0.00004441514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4478947,"threshold_uncertainty_score":0.9627792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040257187454205,"score_gpt":0.2350510580375313,"score_spread":0.2146484861629893,"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."}}