{"id":"W2311709439","doi":"10.2166/wst.2015.609","title":"Evaluation of the applicability of the SWAT model in an arid piedmont plain oasis","year":2015,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Hydrology (agriculture); Watershed; Soil and Water Assessment Tool; Alluvial plain; SWAT model; Environmental science; Arid; Coastal plain; Water balance; Ridge; Geology; Streamflow; Geography; Drainage basin","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003858851,0.0000757735,0.0001166871,0.00009816406,0.0001439525,0.000004126519,0.00118731,0.00007172813,0.0000150949],"category_scores_gemma":[0.0001169657,0.00003562249,0.00002356926,0.0007611003,0.003615093,0.0001781808,0.001356893,0.0001100138,0.00001037668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001878473,"about_ca_system_score_gemma":0.00003318826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001642451,"about_ca_topic_score_gemma":0.0008137552,"domain_scores_codex":[0.998523,0.00009631387,0.0001950048,0.0003068167,0.0006218232,0.0002570174],"domain_scores_gemma":[0.9991728,0.000005336172,0.00006650791,0.0006919841,0.00004199737,0.0000213475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001452512,0.0002074062,0.6573846,0.000004086434,0.000004942548,2.025872e-7,0.004455044,0.2483601,0.08258694,0.001414104,0.00004907745,0.005518893],"study_design_scores_gemma":[0.0005647449,0.0001192869,0.1097797,0.000007417412,0.00004857182,0.000001618677,0.0009921314,0.2267649,0.4502179,0.2112191,0.0001428848,0.0001418216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933898,0.000006365124,0.0002624147,0.003248926,0.00006597148,0.0003861139,8.592817e-7,0.00001637487,0.002623199],"genre_scores_gemma":[0.9996667,8.939447e-7,0.0001751436,0.00006996614,0.000001470179,0.00005418333,1.432631e-7,0.000002173348,0.00002930966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.547605,"threshold_uncertainty_score":0.9990965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449447549898918,"score_gpt":0.2659777937884857,"score_spread":0.2314833182894965,"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."}}