{"id":"W1798861474","doi":"10.3389/fmicb.2015.01120","title":"The out-of-the-delta hypothesis: dense human populations in low-lying river deltas served as agents for the evolution of a deadly pathogen","year":2015,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Université de Montréal; Alberta Innovates; Alberta Innovates - Technology Futures; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Vibrio cholerae; Cholera; Pandemic; Delta; Biology; Ecology; Brackish water; Pathogen; Human pathogen; Geography; Disease; Coronavirus disease 2019 (COVID-19); Microbiology; Infectious disease (medical specialty); Bacteria; Medicine","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":[0.001532756,0.0005970357,0.0005592417,0.0008567496,0.001419398,0.002174739,0.001672632,0.001907517,0.005689898],"category_scores_gemma":[0.001811248,0.0002903194,0.0004318132,0.0006582362,0.00589544,0.003499081,0.002253907,0.0009438135,0.001023898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000741092,"about_ca_system_score_gemma":0.001249799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002756833,"about_ca_topic_score_gemma":0.003469131,"domain_scores_codex":[0.9994732,0.0001491767,0.00001798877,0.0001852561,0.00004847233,0.0001259671],"domain_scores_gemma":[0.9990562,0.0001793825,0.0001957415,0.0001010307,0.000133588,0.0003340133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009994997,0.0005133788,0.3704489,0.001100784,0.0004559963,0.006016207,0.01616772,0.003526649,0.01669715,0.4875167,0.01322716,0.0833298],"study_design_scores_gemma":[0.0003244773,0.001536471,0.2297174,0.0007503352,0.0004241266,0.006610306,0.06061545,0.01085269,0.006679519,0.5772644,0.1050097,0.0002151512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8060787,0.01037404,0.03625718,0.07037657,0.001500714,0.0001441138,0.0006690677,0.0002173819,0.07438224],"genre_scores_gemma":[0.9839117,0.003785922,0.002337442,0.004180338,0.0003339727,0.00003178494,0.0001660089,0.00001878326,0.005234031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005689898,"threshold_uncertainty_score":0.01903456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05173718426411057,"score_gpt":0.3028443970372473,"score_spread":0.2511072127731367,"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."}}