{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000190741,0.0001937615,0.0001793953,0.00006394953,0.00007080993,0.00004830324,0.0001328739,0.0002115164,0.00007138247],"category_scores_gemma":[0.00002383189,0.0001860504,0.00003992271,0.00007278623,0.0002764478,0.00000721062,0.00005725708,0.0001178632,0.00004597388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222241,"about_ca_system_score_gemma":0.00009906466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01904501,"about_ca_topic_score_gemma":0.2282332,"domain_scores_codex":[0.9986897,0.0001025503,0.0002606932,0.0004777638,0.00003460481,0.0004347585],"domain_scores_gemma":[0.9996258,0.00001552934,0.00004797661,0.0002044837,0.000004766491,0.0001014459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003088728,0.00002579193,0.5048084,0.00005441706,0.00004249559,0.00002496203,0.00006018383,0.000002042025,0.4924222,0.0001058952,0.002023192,0.0003995322],"study_design_scores_gemma":[0.00048636,0.0002368542,0.6457325,0.00008527705,0.0000337683,0.0001129522,0.0000455391,0.0002047263,0.04240988,0.00008953446,0.310192,0.0003706838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960999,0.001283139,0.0008953562,0.0007814968,0.0002035602,0.0002615091,0.000289393,0.0000120894,0.0001735211],"genre_scores_gemma":[0.9956363,0.0002368758,0.00005280949,0.0001737188,0.0001063821,0.000007907781,0.002389576,0.00001927701,0.001377193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500123,"threshold_uncertainty_score":0.9874873,"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."}}