{"id":"W3200737923","doi":"10.1186/s12866-021-02306-y","title":"Spatio-temporal dynamics of bacterial communities in the shoreline of Laurentian great Lake Erie and Lake St. Clair’s large freshwater ecosystems","year":2021,"lang":"en","type":"article","venue":"BMC Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lake ecosystem; Ecology; Ecosystem; Spatial variability; Abundance (ecology); Biogeochemical cycle; Freshwater ecosystem; Aquatic ecosystem; Relative species abundance; Sampling (signal processing); Temporal scales; Biodiversity; Beta diversity; Biology; Physical geography; Environmental science; Geography","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":[0.0002428075,0.0001537279,0.0001501196,0.0006483566,0.0003239676,0.0004303661,0.000167941,0.0001792394,0.000540025],"category_scores_gemma":[0.0003670284,0.00009633289,0.0001712337,0.0006788094,0.0002588069,0.0002076571,0.000509206,0.0001210809,0.00008353005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009520752,"about_ca_system_score_gemma":0.0006602134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09456391,"about_ca_topic_score_gemma":0.2326257,"domain_scores_codex":[0.9998615,0.00001524427,0.000007220033,0.00004674784,0.00002206119,0.0000471335],"domain_scores_gemma":[0.9996625,0.00003828633,0.0001321658,0.0000106811,0.00007804758,0.0000783612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001932926,0.00002051452,0.9736381,0.0000551478,0.00006461465,0.0001731559,0.001566724,0.0003674443,0.01793169,0.00005352484,0.0002786827,0.005657136],"study_design_scores_gemma":[6.469144e-7,0.000008859174,0.9994405,0.000002273897,0.000003571741,0.00001161154,0.000195481,0.0001176846,0.00008946859,0.000002889691,0.0001256116,0.000001439867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996108,0.00004681566,0.00002502962,0.00001125646,6.890683e-7,0.000001295712,0.0001696956,0.000002031885,0.0001323465],"genre_scores_gemma":[0.9993529,0.00002873945,0.0001172644,0.00001303776,0.000001741088,0.000006180196,0.0003170383,0.00000137817,0.0001616752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9054361,"threshold_uncertainty_score":0.188027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279017803509333,"score_gpt":0.2178199605102047,"score_spread":0.2050297824751114,"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."}}