{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001762632,0.0001682573,0.0002155942,0.00009336934,0.0005436764,0.00001796896,0.0002382367,0.0002351524,0.004970549],"category_scores_gemma":[0.00000755767,0.0001623821,0.00004145581,0.0002488088,0.0003992649,0.0001087874,0.0007461712,0.0005262161,0.0007357647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001497019,"about_ca_system_score_gemma":0.000005722847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000064892,"about_ca_topic_score_gemma":0.0006760017,"domain_scores_codex":[0.9989192,0.000324922,0.0001619478,0.0002504965,0.00004237041,0.0003010882],"domain_scores_gemma":[0.9993771,0.0001535258,0.00005458126,0.0003159053,0.000009010795,0.00008988969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009391053,0.0001065148,0.864565,0.00001281673,0.00003135699,6.359505e-7,0.0006601253,0.000003846621,0.1327352,0.00004093113,0.001450986,0.0002986671],"study_design_scores_gemma":[0.0005574586,0.0003049766,0.9892992,0.00001049137,0.00002229551,0.00003428399,0.00021607,0.00000352154,0.002460999,0.001267372,0.005621759,0.0002015157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983921,0.00008807018,0.00002933232,0.0004031016,0.0002587418,0.0001959224,0.00001189569,0.00003302756,0.0005877806],"genre_scores_gemma":[0.996776,0.00006647931,0.0001430452,0.002711138,0.00002512949,0.000003294939,0.00007039939,0.00001196544,0.0001924833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302742,"threshold_uncertainty_score":0.995939,"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."}}