{"id":"W2083118125","doi":"10.2166/wst.2006.302","title":"Neural networks modelling of streamflow, phosphorus, and suspended solids: application to the Canadian Boreal forest","year":2006,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; University of Alberta","funders":"University of Alberta","keywords":"Eutrophication; Environmental science; Total suspended solids; Streamflow; Water quality; Suspended solids; Phosphorus; Nutrient; Watershed; Hydrology (agriculture); Taiga; Environmental engineering; Ecology; Sewage treatment; Chemical oxygen demand; Drainage basin; Computer science; Wastewater; Chemistry; Engineering","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":[0.00042152,0.0006756042,0.0003377625,0.000343708,0.0007046417,0.0005657063,0.0006613019,0.0005153062,0.0003746429],"category_scores_gemma":[0.00112669,0.000234323,0.0003211661,0.0005422516,0.0003513996,0.0003266849,0.0002669514,0.0003592628,0.00003871361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004169783,"about_ca_system_score_gemma":0.003382765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8010563,"about_ca_topic_score_gemma":0.726209,"domain_scores_codex":[0.9998795,0.00002262029,0.00000778852,0.00002665799,0.00003102963,0.00003244006],"domain_scores_gemma":[0.9996588,0.0001376341,0.00004425994,0.000009735088,0.0001303651,0.00001920917],"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":[0.00001587849,0.00001234387,0.002187367,0.00000496021,0.000009039812,0.00001810035,0.000008813511,0.9932967,0.0002639481,0.0001464395,0.00005501987,0.003981466],"study_design_scores_gemma":[0.000001958477,0.000004382044,0.0006801506,5.343354e-7,0.000002459344,0.000002026748,0.000003877329,0.9990844,0.0001224879,0.00005452255,0.00004114789,0.000002127959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506425,0.0002772452,0.04551034,0.0002656386,0.000027125,0.00004239001,0.0002337948,0.0003575301,0.0026435],"genre_scores_gemma":[0.9905544,0.0000989291,0.008301104,0.00001411918,0.000006326328,0.00001796722,0.0001153581,0.000007911615,0.0008837238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1989437,"threshold_uncertainty_score":0.4002305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006024025765861249,"score_gpt":0.1894288685621021,"score_spread":0.1834048427962409,"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."}}