{"id":"W4254165454","doi":"10.32920/ryerson.14655129.v1","title":"A model-based approach to measuring denitrification and greenhouse gas production in lakes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Denitrification; Lake ecosystem; Environmental science; Biogeochemical cycle; Hydrology (agriculture); Wind speed; Greenhouse gas; Relative humidity; Atmospheric sciences; Ecosystem; Ecology; Environmental chemistry; Meteorology; Nitrogen; Chemistry; Geography; Biology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000427521,0.0005549137,0.0005351171,0.0002462103,0.0006010014,0.0007043738,0.0009958014,0.0006280483,0.0005857425],"category_scores_gemma":[0.0006037939,0.0004560752,0.0005608764,0.0003940732,0.0003081529,0.000493421,0.0005388699,0.0005543166,0.00009376816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002760396,"about_ca_system_score_gemma":0.001885596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07791508,"about_ca_topic_score_gemma":0.06762846,"domain_scores_codex":[0.9998185,0.00005187647,0.00001160327,0.0000537437,0.00004564163,0.00001864037],"domain_scores_gemma":[0.9998577,0.00006149273,0.00001203839,0.00001531761,0.00004377153,0.000009755354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005902625,0.00006220753,0.002874603,0.00005048542,0.00003897663,0.00001768826,0.0000392812,0.9769678,0.01537669,0.0007700931,0.00007803221,0.003665205],"study_design_scores_gemma":[0.00002316811,0.00005419988,0.001862476,0.000003065433,0.00001371926,0.000005883317,0.00001378767,0.9912574,0.006143415,0.0003615911,0.0002473014,0.00001408449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8405579,0.0001550925,0.1526187,0.00009335946,0.00001811316,0.0002076959,0.001144618,0.0008382646,0.004366236],"genre_scores_gemma":[0.9673666,0.0001041731,0.03088006,0.00001657842,0.000003015474,0.0003023731,0.0003899628,0.0000358182,0.000901349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07791508,"threshold_uncertainty_score":0.1549231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04261897477231432,"score_gpt":0.2227039711801095,"score_spread":0.1800849964077952,"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."}}