{"id":"W4407270068","doi":"10.2139/ssrn.5129351","title":"Towards an Improved Representation of the Relationship between Root Traits and Nitrogen Losses in Process-Based Models","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Process (computing); Representation (politics); Root (linguistics); Nitrogen; Mathematics; Computer science; Econometrics; Chemistry; Political science; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001739186,0.001073174,0.001386748,0.0006788684,0.0004031505,0.001807951,0.001807057,0.002140639,0.00152112],"category_scores_gemma":[0.006385743,0.0009706268,0.001690305,0.0008388495,0.0005670411,0.001620554,0.001181621,0.001980479,0.0005348486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007484829,"about_ca_system_score_gemma":0.001342571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168354,"about_ca_topic_score_gemma":0.008677934,"domain_scores_codex":[0.9994563,0.0002696119,0.00003353373,0.0001031255,0.00008219107,0.00005528656],"domain_scores_gemma":[0.9977319,0.001616404,0.0001618089,0.0002094156,0.0002063113,0.00007421764],"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":[0.00001014954,0.00002305556,0.0002904235,0.0000142038,0.00003204668,0.00001803202,0.00001586146,0.9942994,0.0006534357,0.00216181,0.0000828096,0.00239867],"study_design_scores_gemma":[0.000001730216,0.00000302066,0.0000349504,0.000001510192,0.00000455388,0.000002018033,0.000001237878,0.998543,0.00005114753,0.001302634,0.00005245161,0.000001682057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05858241,0.0002267679,0.9383958,0.0002787274,0.00002999161,0.0000353375,0.000351128,0.0004884383,0.001611336],"genre_scores_gemma":[0.8462853,0.0004654112,0.1470165,0.000219267,0.00008860631,0.0002795237,0.0008926512,0.0004346964,0.00431796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01168354,"threshold_uncertainty_score":0.02323103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799623219640011,"score_gpt":0.2868450826221802,"score_spread":0.25884885042578,"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."}}