{"id":"W3149308363","doi":"10.1007/s00248-021-01838-0","title":"Dynamic Subspecies Population Structure of Vibrio cholerae in Dhaka, Bangladesh","year":2021,"lang":"en","type":"article","venue":"Microbial Ecology","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Vibrio cholerae; Biology; Cholera; Population; Dominance (genetics); Brackish water; Euryhaline; Ecology; Abundance (ecology); El Tor; Veterinary medicine; Salinity; Microbiology; Genetics; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002416999,0.0002646314,0.0003677147,0.001651241,0.000920055,0.0008048959,0.0005297713,0.0004022129,0.001474483],"category_scores_gemma":[0.0007672624,0.0004119488,0.0002274195,0.002088192,0.0008138166,0.0004469329,0.0008321386,0.0003769067,0.0004213561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002351194,"about_ca_system_score_gemma":0.001275432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1452728,"about_ca_topic_score_gemma":0.1799766,"domain_scores_codex":[0.9996206,0.00005454407,0.00003941256,0.0001090848,0.0000506869,0.0001256781],"domain_scores_gemma":[0.9995703,0.0000669112,0.0001071209,0.00002501531,0.0001290735,0.0001016437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001875298,0.00002543573,0.9830083,0.00004973715,0.00005969915,0.0002381734,0.003642895,0.0002667319,0.00759629,0.0002850799,0.0001842905,0.004455855],"study_design_scores_gemma":[0.000003809674,0.00003738467,0.9946988,0.000009149913,0.00001080097,0.0001425356,0.004461284,0.0001166387,0.00009733341,0.00003969196,0.0003718498,0.0000108082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986864,0.0001183986,0.00005126769,0.00004226982,0.000001683783,0.000009142918,0.000402738,0.000002241238,0.0006860352],"genre_scores_gemma":[0.9992698,0.0001037474,0.00003905084,0.00001319218,0.000001168579,0.000009760522,0.0002681097,0.000001062254,0.0002939802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1452728,"threshold_uncertainty_score":0.2888544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004656857131695201,"score_gpt":0.2431550838690588,"score_spread":0.2384982267373636,"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."}}