{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006008017,0.0001470995,0.0003811204,0.00004031747,0.0001001674,0.000007208624,0.0003869265,0.0002308855,0.1695407],"category_scores_gemma":[0.00002565433,0.0001147033,0.00006345088,0.0001116957,0.0005809075,0.00004897359,0.000485314,0.0002662444,0.00001684512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000229009,"about_ca_system_score_gemma":0.00003175429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049632,"about_ca_topic_score_gemma":0.9992408,"domain_scores_codex":[0.9976729,0.001441003,0.0004140649,0.000158165,0.00002900031,0.000284929],"domain_scores_gemma":[0.9991031,0.0002588544,0.0001592944,0.0004334911,0.0000216834,0.00002363108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006635197,0.0009102391,0.6937182,0.0002908788,0.0001092255,0.00002093132,0.008939894,0.0001627082,0.03455785,0.001771348,0.2587149,0.0001402823],"study_design_scores_gemma":[0.0008638299,0.0001878486,0.004254104,0.00002474434,0.0000214329,0.0000884276,0.001500059,0.0002195971,0.0002428096,0.0003511155,0.9920949,0.0001511445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928347,0.00006888436,0.00005515748,0.0001742134,0.0002254541,0.0001814436,0.006205108,0.000007040254,0.0002480265],"genre_scores_gemma":[0.9036791,0.00004885953,0.0003812516,0.0001898122,0.00002665408,0.000006693598,0.09555934,0.000009670191,0.00009863103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9981912,"threshold_uncertainty_score":0.8312184,"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."}}