{"id":"W2312204132","doi":"10.2166/wst.2012.895","title":"Single-objective vs. multi-objective autocalibration in modelling total suspended solids and phosphorus in a small agricultural watershed with SWAT","year":2012,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Soil and Water Assessment Tool; Calibration; Watershed; SWAT model; Environmental science; Total suspended solids; Water quality; Statistics; Environmental engineering; Hydrology (agriculture); Computer science; Mathematics; Engineering; Streamflow; Ecology; Drainage basin; Wastewater; Geotechnical engineering; Geography; Machine learning","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":[0.002184131,0.0006628272,0.0004505949,0.0004926064,0.0003374934,0.0007567443,0.0004490866,0.0007949455,0.0005276338],"category_scores_gemma":[0.002393222,0.0003885731,0.0006158286,0.0005794493,0.0004256001,0.0009028453,0.0005074909,0.0004507596,0.00007310111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006250133,"about_ca_system_score_gemma":0.0009983396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01532951,"about_ca_topic_score_gemma":0.01371482,"domain_scores_codex":[0.9996941,0.000160131,0.00002307859,0.00004672602,0.00004505664,0.00003094539],"domain_scores_gemma":[0.9988373,0.0008067371,0.0001268937,0.00005531801,0.00013408,0.00003962497],"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":[0.00003872646,0.00004411192,0.002506482,0.00001835185,0.00001839964,0.00001252679,0.0000259865,0.9899435,0.0008600797,0.0001461669,0.0000220206,0.006363544],"study_design_scores_gemma":[0.000005264988,0.00002656029,0.0006908312,0.000001232183,0.00000383898,0.00000213024,0.000007584056,0.9984798,0.0006902692,0.00006200386,0.00002713521,0.000003466675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330769,0.00007134266,0.06536302,0.00006042129,0.000007367863,0.00006208361,0.00007778902,0.0001737151,0.001107573],"genre_scores_gemma":[0.9813845,0.00002684967,0.01817332,0.00001110565,0.000001811434,0.0000460282,0.0000530311,0.00002179998,0.0002816432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01532951,"threshold_uncertainty_score":0.03048056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285127821009772,"score_gpt":0.2023787240785244,"score_spread":0.1895274458684267,"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."}}