{"id":"W2996424560","doi":"10.1002/lno.11356","title":"Linking stream microbial community functional genes to dissolved organic matter and inorganic nutrients","year":2019,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Biogeochemical cycle; Dissolved organic carbon; Nutrient; Microbial population biology; Wetland; Ecology; Environmental chemistry; Nitrogen cycle; Nutrient cycle; Biogeochemistry; Environmental science; Biology; Chemistry; Nitrogen; Bacteria","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":[0.000307272,0.0002389758,0.0002787067,0.0009856983,0.0002052222,0.0005641693,0.0001013674,0.0002675955,0.0006494862],"category_scores_gemma":[0.0008198867,0.0001397039,0.0001997806,0.0009602742,0.0001606962,0.0002533756,0.0002532858,0.0001888929,0.00009711226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002333069,"about_ca_system_score_gemma":0.0002168722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029568,"about_ca_topic_score_gemma":0.002103972,"domain_scores_codex":[0.9998214,0.00003591973,0.0000143801,0.0000606918,0.00003527161,0.00003237702],"domain_scores_gemma":[0.9994563,0.0001750384,0.0001784459,0.0000149266,0.0001037996,0.00007146825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003508954,0.00007648666,0.753638,0.0001121227,0.0001894387,0.0000731523,0.0001574967,0.001892156,0.2334447,0.0001232234,0.0001075981,0.009834645],"study_design_scores_gemma":[0.000006969844,0.00008214258,0.9817924,0.000008421473,0.00005003059,0.0000908179,0.0001548616,0.007480737,0.009834002,0.0002503694,0.0002414443,0.000007923806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984459,0.0001198659,0.0006763164,0.000009951959,0.000001703434,0.000005254817,0.0006214612,0.00000608126,0.0001135965],"genre_scores_gemma":[0.997787,0.00006874707,0.001239511,0.00001230521,0.000003190772,0.00001107183,0.0007430549,0.000002298735,0.0001327292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002029568,"threshold_uncertainty_score":0.004035592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007286937122295152,"score_gpt":0.1910131382078388,"score_spread":0.1837262010855437,"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."}}