{"id":"W4396579434","doi":"10.3390/environments11050090","title":"Aquatic Bacterial Community Connectivity: The Effect of Hydrological Flow on Community Diversity and Composition","year":2024,"lang":"en","type":"article","venue":"Environments","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beta diversity; Transect; Environmental science; Ecology; Microbial population biology; Community structure; STREAMS; Alpha diversity; Ecosystem; Aquatic ecosystem; Hydrology (agriculture); Biodiversity; Biology; Geology","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":[0.0005579194,0.0003187842,0.0003176199,0.0007220246,0.0004128318,0.0005731838,0.0002051043,0.0002566653,0.0006596429],"category_scores_gemma":[0.001608358,0.0001776775,0.0003751711,0.0006471457,0.0003778508,0.0008093046,0.0008993187,0.0003369305,0.00009329669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002831187,"about_ca_system_score_gemma":0.0002714477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005229678,"about_ca_topic_score_gemma":0.007337448,"domain_scores_codex":[0.9996125,0.00009363276,0.00002820999,0.0001331888,0.00006756945,0.00006487144],"domain_scores_gemma":[0.9990232,0.0003523018,0.0003423757,0.00005413411,0.0001081071,0.0001198538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002714669,0.0000774969,0.894358,0.0001018752,0.000203036,0.000148314,0.0006907401,0.002614207,0.08517621,0.0002592712,0.00012992,0.01596932],"study_design_scores_gemma":[0.000003310683,0.0001010158,0.993512,0.000006721742,0.00002819818,0.00004968888,0.0002001408,0.00357308,0.002130831,0.0002191588,0.0001655511,0.00001034112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984419,0.00009011863,0.001039245,0.0000219745,0.000002007397,0.000006359977,0.0001372128,0.000009605157,0.000251557],"genre_scores_gemma":[0.9987696,0.00005403512,0.0008619707,0.00001208249,0.000003042392,0.00001137263,0.0001967985,0.000004588813,0.00008646251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005229678,"threshold_uncertainty_score":0.01039851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374178271393298,"score_gpt":0.2179357219505503,"score_spread":0.2041939392366174,"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."}}