{"id":"W4387602093","doi":"10.3897/aca.6.e107604","title":"Investigating Microbial Triggers of Nitrous Oxide Emissions in Agriculturally Influenced Aquatic Ecosystems","year":2023,"lang":"en","type":"article","venue":"ARPHA Conference Abstracts","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; National Association of Friendship Centres","funders":"","keywords":"Greenhouse gas; Environmental science; Biogeochemical cycle; Nitrous oxide; Nutrient; Aquatic ecosystem; Ecosystem; Biogeochemistry; Sediment; Microbial population biology; Mesocosm; Dredging; Tile drainage; Terrestrial ecosystem; Environmental chemistry; Ecology; Soil water; Biology; Chemistry; Soil science","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004557782,0.0001608978,0.0002892987,0.00007806334,0.000139257,0.00001647394,0.0004446911,0.000157973,0.000576487],"category_scores_gemma":[0.000378806,0.0001405898,0.00005303061,0.0005189902,0.0002602302,0.0002056709,0.0002034218,0.0003390305,0.0008541632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006863098,"about_ca_system_score_gemma":0.00006955119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00709076,"about_ca_topic_score_gemma":0.0197744,"domain_scores_codex":[0.9985241,0.0002152663,0.0005216845,0.0002421644,0.0001147999,0.0003820189],"domain_scores_gemma":[0.9989941,0.0003729177,0.0002556069,0.0002516403,0.00001414247,0.0001116321],"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":[0.00000916165,0.00005405584,0.01835901,0.00001810071,0.000009062533,0.000009665565,0.001373056,0.00536184,0.9725239,0.00008491337,0.001698081,0.0004991375],"study_design_scores_gemma":[0.000664064,0.00009625573,0.9329954,0.0001752087,0.00001362952,0.00001537419,0.0007924835,0.0006387391,0.0612281,0.002385554,0.0006708822,0.0003243248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952831,0.000005346144,0.000002138181,0.000278882,0.000086414,0.0002380841,0.00001085309,0.00005182151,0.00404342],"genre_scores_gemma":[0.999315,0.00001984858,0.0002003858,0.0001621685,0.00001060946,0.00001315882,0.00007498766,0.000007555358,0.00019635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9146364,"threshold_uncertainty_score":0.9999238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316045828005837,"score_gpt":0.2479703375781912,"score_spread":0.2248098792981329,"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."}}