{"id":"W4402312328","doi":"10.1128/spectrum.01509-24","title":"<i>Acinetobacter calcoaceticus-baumannii</i> complex prevalence, spatial-temporal distribution, and contamination sources in Canadian aquatic environments","year":2024,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Ottawa; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Acinetobacter baumannii; Acinetobacter calcoaceticus; Effluent; Contamination; Biology; Veterinary medicine; Acinetobacter; Surface water; Environmental science; Microbiology; Toxicology; Ecology; Medicine; Environmental engineering; Bacteria; Antibiotics; Pseudomonas aeruginosa","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000377078,0.0003066752,0.0002621168,0.002830295,0.001991315,0.001295577,0.0006175378,0.000223361,0.001633669],"category_scores_gemma":[0.001101515,0.0002298775,0.0002943818,0.004102594,0.0006746099,0.0002865654,0.0007280421,0.0002516737,0.0001387945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01211723,"about_ca_system_score_gemma":0.01320028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839951,"about_ca_topic_score_gemma":0.9930288,"domain_scores_codex":[0.999202,0.00003958451,0.00004566894,0.0001717191,0.0003562764,0.0001849237],"domain_scores_gemma":[0.9987578,0.00006409519,0.0002514401,0.00003052454,0.0007570921,0.0001390251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001074774,0.0000274155,0.9759813,0.0001538198,0.00004621477,0.0001524569,0.001504496,0.0001667884,0.006133116,0.0001056982,0.0007560402,0.0148653],"study_design_scores_gemma":[0.000002115043,0.00002104834,0.9963667,0.00001779497,0.00001699939,0.0001087217,0.001331834,0.000195801,0.0004515668,0.00001397423,0.00146357,0.000009851318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945615,0.0006205353,0.0001954173,0.00009148018,0.000004193457,0.00003319477,0.002402022,0.00001703241,0.002074742],"genre_scores_gemma":[0.9964882,0.0006259111,0.0006915475,0.00003647288,0.000002955945,0.00001474051,0.001344591,0.00000484332,0.0007906781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01600486,"threshold_uncertainty_score":0.08791703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005448808644213253,"score_gpt":0.2156272595921085,"score_spread":0.2101784509478952,"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."}}