{"id":"W4323363143","doi":"10.1186/s12866-023-02755-7","title":"Core and conditionally rare taxa as indicators of agricultural drainage ditch and stream health and function","year":2023,"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 Ottawa; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Government of Canada","keywords":"Ditch; Biology; Drainage basin; Ecology; Drainage; Species richness; Community structure; Metagenomics; Surface runoff; Hydrology (agriculture); Environmental science; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165726,0.0001026927,0.0001966852,0.00005355197,0.0002329724,0.000004183833,0.00007749869,0.0001365473,0.0006007248],"category_scores_gemma":[0.00003538375,0.0000842422,0.0000177985,0.0001445269,0.0007308788,0.00004743988,0.0002862333,0.0001352519,0.00005569224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001987932,"about_ca_system_score_gemma":0.00002094596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001729778,"about_ca_topic_score_gemma":0.001077221,"domain_scores_codex":[0.9992359,0.0001873149,0.0001538849,0.0002150132,0.00001700052,0.0001909436],"domain_scores_gemma":[0.9995214,0.0001874101,0.0001203898,0.00009435749,0.000005092785,0.00007130118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001420239,0.00007790977,0.2025317,0.0001112613,0.00004843481,0.00000229869,0.001918951,0.00001428948,0.7576836,0.002696944,0.03315146,0.001621214],"study_design_scores_gemma":[0.0004481877,0.0005483704,0.9907565,0.000009402832,0.000009074753,0.0001009734,0.0007887266,0.000001785681,0.0005584548,0.001993655,0.004673402,0.000111455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988045,0.0001504707,0.000003957517,0.0002438881,0.00006857407,0.0001687124,0.0001138465,0.00002333322,0.0004226895],"genre_scores_gemma":[0.9982613,0.0001129315,0.00007624299,0.0005127239,0.00001299746,0.000006401139,0.000776612,0.00000432026,0.0002364344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7882249,"threshold_uncertainty_score":0.6577514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704360275138969,"score_gpt":0.2443720693341182,"score_spread":0.2273284665827285,"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."}}